[{"data":1,"prerenderedAt":460},["ShallowReactive",2],{"categories-init":3,"stack-streamlit-on-snowflake":4},true,{"stack_id":5,"slug":6,"name":7,"tagline":8,"long_description":9,"key_features":10,"use_cases":17,"pros":23,"cons":28,"cover_image_url":32,"scores":33,"options":42,"additions":91,"option_groups":195,"multi_select_option_types":196,"tools_by_category":197,"related_stacks":355,"faqs":430,"pricing":446,"system_requirements":32,"experience_level":361,"project_type":386,"stack_type_slug":363,"stack_type_icon_url":364,"published_date":156,"last_updated_date":32,"seo_meta":456},114,"streamlit-on-snowflake","Streamlit on Snowflake","Streamlit Python data apps running natively inside Snowflake, with no external hosting needed.","Streamlit in Snowflake runs Python Streamlit applications **directly inside the Snowflake data cloud**, with data queries executing in the same environment where the data lives. There is no separate application server to deploy, no network egress for data queries, and no credential management between the app and the database: Streamlit apps run with the permissions of the Snowflake role they are deployed under.\n\nDevelopers write standard Streamlit Python code using the **Snowpark Python** library to query Snowflake tables, and deploy the app through Snowflake's web UI or CLI. The app is accessible to Snowflake users within the organization without any additional authentication configuration. Python data science libraries available in Snowflake's conda environment (Pandas, Matplotlib, Plotly, scikit-learn) are usable in the app.\n\nThis stack is ideal for data teams that want to build internal tools and dashboards on top of Snowflake data without managing **external compute infrastructure** or handling data egress costs and latency.",[11,12,13,14,15,16],"Streamlit runs inside Snowflake, with no external app server required","Snowpark Python for querying Snowflake data with low latency and no egress cost","Deploy via the Snowflake UI or Snowflake CLI, with no Docker or Kubernetes","Access control via existing Snowflake roles and permissions","Python data science libraries (Pandas, Plotly, scikit-learn) available natively","Shareable with any Snowflake user in the organization with no additional auth",[18,19,20,21,22],"Data analysts building internal dashboards on Snowflake data without external hosting","Data science teams creating model exploration tools that query Snowflake features","Business intelligence apps where data egress cost and latency are concerns","Ad-hoc reporting tools deployed quickly to Snowflake users","Internal tools that need to read and write Snowflake data without exposing connection strings",[24,25,26,27],"Zero external infrastructure: the app runs where the data lives","No data egress charges or latency from Snowflake to an external app server","Inherits Snowflake's enterprise security, SSO, and role-based access","Standard Streamlit code, so apps are portable to Streamlit Community Cloud if needed",[29,30,31],"Requires a Snowflake account, so it's not suitable for teams without an existing Snowflake investment","Limited to Python libraries available in Snowflake's managed conda environment","Snowflake compute costs apply to app execution alongside query compute costs",null,{"popularity":34,"learning_curve":36,"flexibility":38,"performance":39,"portability":41},{"score":35,"reasoning":32},3,{"score":37,"reasoning":32},2,{"score":35,"reasoning":32},{"score":40,"reasoning":32},5,{"score":37,"reasoning":32},{"database":43,"orm":47,"authentication":51,"analytics":55,"coding_agent":59,"llm":63,"language":67,"frontend_framework":71,"cms":75,"hosting":79,"reverse_proxy":83,"self_hosted_paas":87},{"tools":44,"descriptions":45,"aliases":46,"see_all":32},[],{},{},{"tools":48,"descriptions":49,"aliases":50,"see_all":32},[],{},{},{"tools":52,"descriptions":53,"aliases":54,"see_all":32},[],{},{},{"tools":56,"descriptions":57,"aliases":58,"see_all":32},[],{},{},{"tools":60,"descriptions":61,"aliases":62,"see_all":32},[],{},{},{"tools":64,"descriptions":65,"aliases":66,"see_all":32},[],{},{},{"tools":68,"descriptions":69,"aliases":70,"see_all":32},[],{},{},{"tools":72,"descriptions":73,"aliases":74,"see_all":32},[],{},{},{"tools":76,"descriptions":77,"aliases":78,"see_all":32},[],{},{},{"tools":80,"descriptions":81,"aliases":82,"see_all":32},[],{},{},{"tools":84,"descriptions":85,"aliases":86,"see_all":32},[],{},{},{"tools":88,"descriptions":89,"aliases":90,"see_all":32},[],{},{},{"ci_cd":92},{"tools":93,"descriptions":187,"aliases":190,"preface":191,"see_all":192},[94,157],{"tool_id":95,"name":96,"slug":97,"tooltip_description":98,"logo_url":99,"logo_bg":100,"pricing_model":101,"learning_curve_score":35,"popularity_score":40,"hosting_assignment_type":32,"hosting_provider_restriction":105,"hosting_target_restriction":105,"hosting_compatible_tool_ids":32,"parent_tool_id":32,"category":106,"subcategory":110,"categories":114,"subcategories":117,"flexibility_score":40,"performance_score":119,"portability_score":119,"is_featured":120,"tags":121,"score_reasonings":149,"published_date":155,"last_updated_date":156},164,"GitHub Actions","github-actions","GitHub's integrated CI\u002FCD platform that automates build, test, and deployment workflows using YAML-based configurations. Runs on GitHub-hosted or self-hosted runners with a rich marketplace of pre-built integrations.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fgithub-actions.svg","white",{"slug":102,"display_name":103,"description":104},"freemium","Freemium","A free tier is available; additional features, usage limits, or managed hosting require a paid plan.","open",{"category_id":107,"name":108,"slug":109},12,"DevOps & CI\u002FCD","devops-cicd",{"subcategory_id":111,"name":112,"slug":113},34,"CI\u002FCD Pipelines","cicd-pipelines",[115],{"category_id":107,"name":108,"slug":109,"is_primary":3,"display_order":116},0,[118],{"subcategory_id":111,"name":112,"slug":113,"category_id":107,"is_primary":3,"display_order":116},4,false,[122,127,130,135,140,144],{"tag_id":123,"name":124,"slug":125,"tag_type":126},13,"Free Tier","free-tier","feature",{"tag_id":107,"name":128,"slug":129,"tag_type":126},"Self-hostable","self-hostable",{"tag_id":131,"name":132,"slug":133,"tag_type":134},40,"Web","web","platform",{"tag_id":136,"name":137,"slug":138,"tag_type":139},36,"CI\u002FCD","ci-cd","use_case",{"tag_id":141,"name":142,"slug":143,"tag_type":126},24,"Docker Compatible","docker-compatible",{"tag_id":145,"name":146,"slug":147,"tag_type":148},45,"Declarative","declarative","paradigm",{"flexibility":150,"learning_curve":151,"performance":152,"popularity":153,"portability":154},"Self-hosted runner support across any OS or cloud, custom labels, matrix builds, Kubernetes scaling via Actions Runner Controller, and a marketplace of thousands of community-built actions give teams virtually unlimited configuration options for any workflow or environment.","Basic single-job workflows are accessible to any developer comfortable with YAML, and GitHub's documentation lowers the barrier further. However, advanced patterns — composite actions, reusable workflows, OIDC-based cloud auth, and conditional matrix strategies — involve non-obvious syntax and a complex permission model that requires meaningful time to master.","The platform handles massive scale reliably, but GitHub-hosted runner performance can vary between runs, making consistent benchmarking difficult. Teams running on self-hosted or larger hosted runners achieve stable, high throughput; the managed offering trades predictable latency for zero infrastructure overhead.","GitHub Actions is the dominant CI\u002FCD platform with tens of millions of repositories using it, thousands of marketplace actions, and widespread enterprise adoption. It is cited as the most-used CI\u002FCD solution in multiple developer surveys.","Self-hosted runners can run on any cloud or on-premises infrastructure, and the YAML workflow model is readable and auditable. The main constraint is tight coupling to GitHub events and APIs — moving workflows to another CI\u002FCD platform requires meaningful rewriting rather than a simple lift-and-shift.","2026-05-29","2026-09-27",{"tool_id":158,"name":159,"slug":160,"tooltip_description":161,"logo_url":162,"logo_bg":100,"pricing_model":163,"learning_curve_score":35,"popularity_score":119,"hosting_assignment_type":32,"hosting_provider_restriction":105,"hosting_target_restriction":105,"hosting_compatible_tool_ids":32,"parent_tool_id":32,"category":164,"subcategory":165,"categories":166,"subcategories":168,"flexibility_score":40,"performance_score":35,"portability_score":35,"is_featured":120,"tags":170,"score_reasonings":181,"published_date":155,"last_updated_date":156},165,"GitLab CI\u002FCD","gitlab-cicd","GitLab's built-in CI\u002FCD system configured through .gitlab-ci.yml files stored in your repository. Supports both GitLab-hosted and self-hosted runners for flexible pipeline execution across diverse environments.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fgitlab.svg",{"slug":102,"display_name":103,"description":104},{"category_id":107,"name":108,"slug":109},{"subcategory_id":111,"name":112,"slug":113},[167],{"category_id":107,"name":108,"slug":109,"is_primary":3,"display_order":116},[169],{"subcategory_id":111,"name":112,"slug":113,"category_id":107,"is_primary":3,"display_order":116},[171,172,173,174,175,179,180],{"tag_id":123,"name":124,"slug":125,"tag_type":126},{"tag_id":107,"name":128,"slug":129,"tag_type":126},{"tag_id":131,"name":132,"slug":133,"tag_type":134},{"tag_id":136,"name":137,"slug":138,"tag_type":139},{"tag_id":176,"name":177,"slug":178,"tag_type":126},11,"Open Source","open-source",{"tag_id":141,"name":142,"slug":143,"tag_type":126},{"tag_id":145,"name":146,"slug":147,"tag_type":148},{"learning_curve":182,"flexibility":183,"performance":184,"popularity":185,"portability":186},"The core .gitlab-ci.yml syntax is approachable for developers with YAML and Linux fundamentals, and GitLab's documentation is thorough. However, the platform's breadth — runner executors, pipeline inheritance, CI\u002FCD Catalog, merge trains, and security scanning configuration — creates a long tail of advanced concepts that teams discover gradually over months.","Multiple runner executor types (Docker, Kubernetes, Shell, machine), unlimited self-hosted runner capacity, parent-child pipelines, reusable CI\u002FCD Components, and the ability to self-host the entire platform give teams complete control over their pipeline environment and infrastructure.","Pipeline performance depends heavily on runner configuration and caching strategy. Shared GitLab-hosted runners can experience queue delays during peak periods, and Docker+machine executors add startup overhead. Teams running optimized self-hosted Kubernetes runners with effective caching achieve significantly faster pipelines, but the default shared experience is average for the CI\u002FCD category.","GitLab CI\u002FCD is used by over 100,000 organizations and is particularly strong among enterprises and security-conscious DevOps teams. It consistently ranks among the top CI\u002FCD platforms in developer surveys, though GitHub Actions has overtaken it in raw adoption volume — especially among open-source and smaller team segments.","GitLab CE is fully open source and self-hostable on any infrastructure, which is a strong portability advantage. However, .gitlab-ci.yml pipelines are tightly coupled to GitLab's API and runner ecosystem — migrating pipeline definitions to another CI\u002FCD system (GitHub Actions, CircleCI, etc.) requires substantial rewriting rather than a simple port.",{"github-actions":188,"gitlab-cicd":189},"Lints the Streamlit app script on every push, before a broken change reaches the app running inside Snowflake.","The same lint step for teams whose app code lives on GitLab, configured in .gitlab-ci.yml. A deploy job can then publish the checked app to Snowflake with the Snowflake CLI, so what runs in Snowflake always matches a reviewed commit rather than an edit made in the browser.",{},"Add CI\u002FCD when you want a dedicated pipeline for running tests, linting, or multi-stage builds before a deploy goes out. Many hosting platforms already redeploy automatically on every push on their own — a CI\u002FCD tool adds the most value on top of that by gating the deploy on a passing test suite, and matters even more when the hosting choice does not auto-deploy at all, such as a self-hosted server.",{"kind":193,"slug":113,"name":112,"href":194},"subcategory","\u002Ftools\u002Fcategories\u002Fdevops-cicd\u002Fcicd-pipelines",{},[],{"Programming Languages":198,"Databases":241,"Hosting & Cloud":298,"Data Apps":318},[199],{"tool_id":119,"name":200,"slug":201,"tooltip_description":202,"logo_url":203,"logo_bg":204,"pricing_model":205,"learning_curve_score":37,"popularity_score":40,"hosting_assignment_type":32,"hosting_provider_restriction":105,"hosting_target_restriction":105,"hosting_compatible_tool_ids":32,"parent_tool_id":32,"category":208,"subcategory":32,"categories":211,"subcategories":213,"flexibility_score":40,"performance_score":35,"portability_score":40,"is_featured":3,"tags":214,"score_reasonings":235,"published_date":155,"last_updated_date":156},"Python","python","Python is a high-level, interpreted, dynamically typed programming language emphasising readability and simplicity. It dominates data science, machine learning, and general-purpose scripting.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fpython.svg","dark",{"slug":206,"display_name":177,"description":207},"open_source","Source code is publicly available and free to use, modify, and distribute. No paid plans from the project itself.",{"category_id":35,"name":209,"slug":210},"Programming Languages","programming-languages",[212],{"category_id":35,"name":209,"slug":210,"is_primary":3,"display_order":116},[],[215,218,219,223,227,231],{"tag_id":216,"name":200,"slug":201,"tag_type":217},1,"technology",{"tag_id":176,"name":177,"slug":178,"tag_type":126},{"tag_id":220,"name":221,"slug":222,"tag_type":139},25,"Machine Learning","machine-learning",{"tag_id":224,"name":225,"slug":226,"tag_type":139},39,"Data Science","data-science",{"tag_id":228,"name":229,"slug":230,"tag_type":148},48,"Functional","functional",{"tag_id":232,"name":233,"slug":234,"tag_type":148},49,"Object-oriented","object-oriented",{"learning_curve":236,"flexibility":237,"performance":238,"popularity":239,"portability":240},"Clean, readable syntax with vast learning resources; beginner-friendly from day one.","No constraints; equally suited to scripting, data science, web servers, and systems programming.","Interpreted and GIL-limited; efficient for I\u002FO-bound work but slow for CPU-intensive tasks.","The most widely used programming language globally; dominant in data science, AI, and automation.","Universal language; skills transfer across every domain and environment.",[242],{"tool_id":243,"name":244,"slug":245,"tooltip_description":246,"logo_url":247,"logo_bg":204,"pricing_model":248,"learning_curve_score":35,"popularity_score":119,"hosting_assignment_type":252,"hosting_provider_restriction":105,"hosting_target_restriction":253,"hosting_compatible_tool_ids":254,"parent_tool_id":32,"category":258,"subcategory":261,"categories":265,"subcategories":270,"flexibility_score":35,"performance_score":35,"portability_score":35,"is_featured":120,"tags":276,"score_reasonings":292,"published_date":155,"last_updated_date":156},57,"Snowflake","snowflake","Snowflake is a cloud data platform that separates storage, compute, and services. Virtual warehouses start and pause in seconds, and many can query the same data at once, making it a leading warehouse for multi-workload analytics.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fsnowflake.svg",{"slug":249,"display_name":250,"description":251},"usage_based","Usage-Based","Pricing scales with consumption: API calls, data volume, compute time, or similar metered units.","deployable","allowlist",[255,256,257],50,51,54,{"category_id":119,"name":259,"slug":260},"Databases","databases",{"subcategory_id":262,"name":263,"slug":264},26,"OLAP Databases","olap-databases",[266,267],{"category_id":119,"name":259,"slug":260,"is_primary":3,"display_order":116},{"category_id":123,"name":268,"slug":269,"is_primary":120,"display_order":216},"Data Engineering & ETL","data-engineering-etl",[271,272],{"subcategory_id":262,"name":263,"slug":264,"category_id":119,"is_primary":3,"display_order":116},{"subcategory_id":273,"name":274,"slug":275,"category_id":123,"is_primary":120,"display_order":216},31,"Cloud Data Platforms","lakehouse-platforms",[277,280,284,288],{"tag_id":119,"name":278,"slug":279,"tag_type":217},"SQL","sql",{"tag_id":281,"name":282,"slug":283,"tag_type":126},21,"Multi-region","multi-region",{"tag_id":285,"name":286,"slug":287,"tag_type":139},27,"Data Engineering","data-engineering",{"tag_id":289,"name":290,"slug":291,"tag_type":139},37,"Data Pipelines","data-pipelines",{"learning_curve":293,"performance":294,"portability":295,"flexibility":296,"popularity":297},"Standard SQL with Snowflake-specific concepts like virtual warehouses and time travel to learn.","Separated compute and storage is flexible; ad-hoc query performance can trail BigQuery.","Standard SQL with Snowflake-specific extensions; migration is feasible but requires effort.","Rich SQL feature set; Snowpark extends to Python but within Snowflake's managed constraints.","Rapidly grown to become a top cloud data warehousing choice; widely adopted in enterprise.",[299],{"tool_id":300,"name":301,"slug":302,"tooltip_description":303,"logo_url":247,"logo_bg":204,"pricing_model":304,"learning_curve_score":32,"popularity_score":116,"hosting_assignment_type":32,"hosting_provider_restriction":105,"hosting_target_restriction":105,"hosting_compatible_tool_ids":32,"parent_tool_id":243,"category":305,"subcategory":308,"categories":312,"subcategories":314,"flexibility_score":32,"performance_score":32,"portability_score":32,"is_featured":120,"tags":316,"score_reasonings":317,"published_date":156,"last_updated_date":32},254,"Streamlit in Snowflake","streamlit-in-snowflake","Snowflake's native, container-free runtime for Streamlit apps — code runs as a Snowflake object with a live session against your data.",{"slug":249,"display_name":250,"description":251},{"category_id":40,"name":306,"slug":307},"Hosting & Cloud","hosting-cloud",{"subcategory_id":309,"name":310,"slug":311},41,"App Hosting","app-hosting",[313],{"category_id":40,"name":306,"slug":307,"is_primary":3,"display_order":116},[315],{"subcategory_id":309,"name":310,"slug":311,"category_id":40,"is_primary":3,"display_order":116},[],{},[319],{"tool_id":40,"name":320,"slug":321,"tooltip_description":322,"logo_url":323,"logo_bg":204,"pricing_model":324,"learning_curve_score":37,"popularity_score":35,"hosting_assignment_type":325,"hosting_provider_restriction":105,"hosting_target_restriction":105,"hosting_compatible_tool_ids":32,"parent_tool_id":32,"category":326,"subcategory":32,"categories":330,"subcategories":332,"flexibility_score":35,"performance_score":37,"portability_score":35,"is_featured":120,"tags":333,"score_reasonings":349,"published_date":155,"last_updated_date":156},"Streamlit","streamlit","Open-source Python framework for turning data scripts into interactive web apps in a few lines, with no frontend code. Part of Snowflake since 2022.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fstreamlit.svg",{"slug":102,"display_name":103,"description":104},"self_hostable",{"category_id":327,"name":328,"slug":329},15,"Data Apps","data-apps",[331],{"category_id":327,"name":328,"slug":329,"is_primary":3,"display_order":116},[],[334,335,336,337,340,344,348],{"tag_id":216,"name":200,"slug":201,"tag_type":217},{"tag_id":176,"name":177,"slug":178,"tag_type":126},{"tag_id":123,"name":124,"slug":125,"tag_type":126},{"tag_id":262,"name":338,"slug":339,"tag_type":139},"Data Visualization","data-visualization",{"tag_id":341,"name":342,"slug":343,"tag_type":139},28,"Web Development","web-development",{"tag_id":345,"name":346,"slug":347,"tag_type":139},38,"Dashboards","dashboards",{"tag_id":224,"name":225,"slug":226,"tag_type":139},{"learning_curve":350,"flexibility":351,"performance":352,"popularity":353,"portability":354},"Minimal Python API; a working web app runs in under 20 lines of code.","Simple script model is easy but constrains layout, state management, and navigation.","Reruns the entire script on each interaction; not suited for high-frequency or real-time workloads.","Popular within the data science community; less known outside ML and analytics circles.","Script model is unique; switching to Gradio or Dash requires a full rewrite.",[356,381,396,407],{"stack_id":357,"slug":358,"name":359,"tagline":360,"experience_level":361,"project_type":362,"stack_type_slug":363,"stack_type_icon_url":364,"score_popularity":35,"score_learning_curve":35,"catalog_display_order":32,"published_date":32,"last_updated_date":32,"core_tool_previews":365},186,"n8n-streamlit-ai","n8n + Streamlit AI Agent","n8n orchestrates AI workflows surfaced as an interactive Streamlit dashboard.","intermediate","automation","project","https:\u002F\u002Fassets.tekyous.dev\u002Ficons\u002Fstack-types\u002Fproject.svg",[366,367,371,375,376],{"tool_id":119,"slug":201,"name":200,"logo_url":203,"logo_bg":204},{"tool_id":131,"slug":368,"name":369,"logo_url":370,"logo_bg":204},"postgresql","PostgreSQL","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fpostgresql.svg",{"tool_id":372,"slug":373,"name":373,"logo_url":374,"logo_bg":204},22,"n8n","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fn8n.svg",{"tool_id":40,"slug":321,"name":320,"logo_url":323,"logo_bg":204},{"tool_id":377,"slug":378,"name":379,"logo_url":380,"logo_bg":204},153,"claude","Claude","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fclaude.svg",{"stack_id":119,"slug":382,"name":383,"tagline":384,"experience_level":385,"project_type":386,"stack_type_slug":363,"stack_type_icon_url":364,"score_popularity":40,"score_learning_curve":37,"catalog_display_order":32,"published_date":32,"last_updated_date":32,"core_tool_previews":387},"python-dashboard-starter","Python Dashboard Starter","Interactive Streamlit dashboard with pandas analytics and a PostgreSQL backend.","beginner","dashboard",[388,389,390,395],{"tool_id":119,"slug":201,"name":200,"logo_url":203,"logo_bg":204},{"tool_id":131,"slug":368,"name":369,"logo_url":370,"logo_bg":204},{"tool_id":391,"slug":392,"name":393,"logo_url":394,"logo_bg":100},8,"pandas","Pandas","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fpandas.svg",{"tool_id":40,"slug":321,"name":320,"logo_url":323,"logo_bg":204},{"stack_id":397,"slug":398,"name":399,"tagline":400,"experience_level":385,"project_type":386,"stack_type_slug":363,"stack_type_icon_url":364,"score_popularity":35,"score_learning_curve":35,"catalog_display_order":32,"published_date":32,"last_updated_date":32,"core_tool_previews":401},187,"n8n-streamlit-pipeline","n8n + Streamlit Pipeline Dashboard","n8n collects and processes data into PostgreSQL, Streamlit visualizes the pipeline output.",[402,403,404,405,406],{"tool_id":119,"slug":201,"name":200,"logo_url":203,"logo_bg":204},{"tool_id":131,"slug":368,"name":369,"logo_url":370,"logo_bg":204},{"tool_id":372,"slug":373,"name":373,"logo_url":374,"logo_bg":204},{"tool_id":391,"slug":392,"name":393,"logo_url":394,"logo_bg":100},{"tool_id":40,"slug":321,"name":320,"logo_url":323,"logo_bg":204},{"stack_id":408,"slug":409,"name":410,"tagline":411,"experience_level":412,"project_type":413,"stack_type_slug":363,"stack_type_icon_url":364,"score_popularity":35,"score_learning_curve":40,"catalog_display_order":32,"published_date":32,"last_updated_date":32,"core_tool_previews":414},9,"mlops-pipeline","MLOps Pipeline","End-to-end ML pipelines from training to production monitoring.","advanced","ml_project",[415,420,421,422,426],{"tool_id":416,"slug":417,"name":418,"logo_url":419,"logo_bg":204},14,"fastapi","FastAPI","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Ffastapi.svg",{"tool_id":119,"slug":201,"name":200,"logo_url":203,"logo_bg":204},{"tool_id":243,"slug":245,"name":244,"logo_url":247,"logo_bg":204},{"tool_id":408,"slug":423,"name":424,"logo_url":425,"logo_bg":204},"apache-airflow","Apache Airflow","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fapache-airflow.svg",{"tool_id":427,"slug":428,"name":428,"logo_url":429,"logo_bg":204},74,"dbt","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fdbt.png",[431,434,437,440,443],{"question":432,"answer":433},"Why run Streamlit inside Snowflake instead of Streamlit Community Cloud?","Running natively inside Snowflake means the app queries data with no network hop, no separate credentials to manage, and Snowflake's own access controls apply automatically, worth it specifically when the data can't leave Snowflake's governed environment.",{"question":435,"answer":436},"Does this cost more than a regular Streamlit app?","Not necessarily more, just billed differently: instead of a separate hosting bill, the app's compute is billed the same way any other Snowflake query is, as part of existing warehouse usage.",{"question":438,"answer":439},"Why does the warehouse keep running while nobody queries anything?","Because an open app keeps its session, and with it the app's warehouse, active until the session times out from inactivity. A dashboard left open in a browser tab bills like a long query. Run apps on a dedicated X-Small warehouse rather than a shared larger one, and give heavier queries their own warehouse if needed. Cache query results in the app with Streamlit's data caching, so reruns triggered by each widget click reuse results instead of querying Snowflake again, and check the app's warehouse in Snowflake's usage views after the first week.",{"question":441,"answer":442},"Can the app use any Python package or call external APIs?","Not by default. Packages come from the channel Snowflake provides for its Python runtime, which covers the common data libraries but not everything on PyPI, so check a package is available before designing around it. Outbound network calls are blocked unless an administrator sets up an external access integration for the specific domains the app needs, which matters for apps that call an LLM API or a third-party service. Plan both before building; they are the usual reasons a Streamlit app that runs locally fails inside Snowflake.",{"question":444,"answer":445},"Do viewers see only the data their own role allows?","No, and this surprises many teams. A Streamlit app in Snowflake runs with the rights of its owner's role, so every viewer sees whatever that role can query, regardless of their own permissions. Give each app a dedicated owner role granted only the tables it needs. When different viewers must see different rows, filter inside the app using the signed-in viewer's identity, which Streamlit exposes to the app, or split the audiences into separate apps with separate owner roles.",{"summary":447,"starting_cost_label":448,"has_free_tier":120,"line_items":449},"Streamlit itself is free either way, so the entire cost of this stack is Snowflake's compute-second billing. Because the app runs natively inside Snowflake rather than on separate hosting, there's no additional Streamlit Community Cloud or server bill on top.","Usage-based (Snowflake only)",[450,453],{"label":244,"cost":451,"note":452},"Usage-based, ~$100+\u002Fmo","Billed by compute-second and storage; running Streamlit inside Snowflake uses the same warehouse compute as any other query.",{"label":320,"cost":454,"note":455},"Included","No separate Streamlit bill; the app runs inside the Snowflake account rather than on Streamlit's own hosting.",{"title":457,"description":458,"og_image":32,"canonical":459},"Streamlit on Snowflake: Tools, Pricing & How to Deploy | Tekyous","Streamlit Python data apps running natively inside Snowflake, with no external hostin… Compare Streamlit on Snowflake tools, pricing & how to deploy on Tekyous.","https:\u002F\u002Ftekyous.dev\u002Fstacks\u002Fstreamlit-on-snowflake",1790518939843]