Datasette turns a database into an interactive website and JSON API, so anyone can browse, filter, and query the data without a custom backend. Point it at SQLite files and each table gets a page with sortable columns, per-column filters, full-text search where it is enabled, and facets that tally the values in a column, including array and date columns, with suggested facets surfaced automatically. Rows have their own URLs, foreign keys become links, and a row that other tables reference links to a filtered list of those records. A "View and edit SQL" link turns whatever filters you applied into an editable query, and visitors with permission can run read-only SQL with named parameters. Useful queries save as canned queries with their own URLs, and writable canned queries add forms that insert or update rows. Every page comes as JSON and as streaming CSV. A metadata file adds titles, licenses, sources, column descriptions, units, default sort orders, and hidden tables. Access rules can apply to the whole instance or a single database, table, or query. Plugins add charts, maps for latitude and longitude columns, Atom feeds, GitHub sign-in, and custom output formats. Custom templates, CSS, and static files carry your branding. SpatiaLite support adds geospatial queries, and datasette publish deploys to Google Cloud Run, Heroku, Vercel, or Fly. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.

If your data lives in a pandas DataFrame, D-Tale gives it a spreadsheet-style grid, a column profiler, and a chart builder in the browser, started with one call from a notebook or script. In the grid you sort, filter, and edit cells inline, lock, hide, reorder, rename, or reformat columns from their menus, and open a Describe view with each column's distribution, summary statistics, outliers, and missing values, while highlight modes color dtypes, outliers, and numeric ranges across the whole table. Correlation matrices, a predictive power score, and duplicate reports sit beside dataframe functions that add numeric, binned, date, random, and type-converted columns, and Merge & Stack combines dataframes, including ones uploaded from Excel files. The chart builder draws line, bar, stacked, pie, wordcloud, heatmap, 3D scatter, surface, and map charts with grouping and aggregation, exports them as standalone HTML, and a network viewer graphs relationships between nodes. Whatever you build in the interface can be exported as reproducible Python code, and data can be saved as CSV or TSV. Launch it from Jupyter, Google Colab, Kaggle, a terminal, or the command line with a CSV path, protect it with optional authentication, and choose light or dark themes and English or Chinese. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. LGPL-2.1 licensed.