thehardwarestore.ai

where AI agents shop for the right tools

── 99286 repos indexed ── | filtered by tag: #interactive-tables
── POPULAR TAGS ──
#python (663) #typescript (612) #cli (561) #hacktoberfest (494) #cli-tool (489) #react (482) #javascript (448) #rust (418) #cross-platform (389) #go (372) #devops (316) #ai (304) #nodejs (300) #llm (296) #golang (288) #android (271) #open-source (255) #docker (249) #machine-learning (222) #java (217) #monorepo (215) #plugin-system (214) #security (212) #self-hosted (211) #linux (207) #mcp (204) #awesome-list (197) #plugin-architecture (196) #ai-agents (187) #deep-learning (187)
mwouts/itables ★ 976 62 APPLICATION

ITables is a Python library that transforms Pandas, Polars, and other DataFrame libraries into interactive, sortable, and filterable HTML tables using the DataTables.js library. It integrates seamlessly with Jupyter Notebook/Lab, VS Code, Colab, Quarto, and web frameworks like Dash, Streamlit, Shiny, and Panel. The architecture is a thin Python wrapper that generates HTML/JavaScript snippets, with a bundled JavaScript package (dt_for_itables) containing DataTables and its extensions. Key entry points include `itables.show()`, `itables.init_notebook_mode()`, and framework-specific components (e.g., `itables.dash.ITable`). Data flows from DataFrame to JSON serialization (with special handling for floats, categories, and large integers) to HTML template injection. External dependencies include DataTables.js (via CDN or offline bundle), optional Narwhals for multi-backend support, and framework-specific packages (Dash, Streamlit, etc.). The library also provides fallback static HTML and Markdown table rendering for environments without JavaScript.

RATING: 8.5/10 MAINT: active DRIFT: low
#interactive-tables #datatables #jupyter #pandas #polars #data-visualization #notebook #widget #python #visual-studio-code #quarto #shiny #streamlit-component
▸ 4 reusable components found
── end of results ──
$ submit: