simonw / datasette · Getting started

Platform metadata describes this as "An open source multi-tool for exploring and publishing data", and lists datasette.io as its homepage; both are author-claimed fields, not analyzer findings. The same metadata records the topic tags asgi, automatic-api, csv, datasets, datasette, datasette-io, docker, json, python, sql and sqlite, and names Python the primary language. The license is recorded as Apache-2.0. The latest release record reads "1.0a39 published 2026-09-11T00:05:54Z"; what that label implies is not established here. As size signals, the analyzer's summary counts 333 analyzed files, language-byte totals put Python largest ahead of JavaScript, HTML and CSS, and 11,460 stargazers were recorded on 2026-09-14.

One parsed manifest feeds this analysis: package.json — all six dependency records come from it. Five records carry runtime scope: @codemirror/lang-sql ^6.3.3, @rollup/plugin-node-resolve ^15.0.1, @rollup/plugin-terser ^0.1.0, codemirror ^6.0.1 and rollup ^3.30.0. One carries dev scope: prettier ^3.0.0. The analyzer states that dependency records come only from requirements-style manifests parsed by v0.10 and that pyproject.toml dependency tables are not parsed. pyproject.toml is still flagged as a project-level important file, but this analysis does not enumerate what it declares. No installation commands appear here, and the analyzer records install/run/build inference as partial with installation commands not verified.

Three entrypoint records are files with a Python __main__ execution guard: datasette/__main__.py, tests/build_small_spatialite_db.py and tests/fixtures.py. The guard in datasette/__main__.py calls cli(); tests/fixtures.py contains a guard calling cli() as well, while tests/build_small_spatialite_db.py calls generate_it("spatialite.db"). Two more records — datasette/app.py and datasette/cli.py — are flagged as likely executable entrypoints by filename heuristic alone. Altogether the packet lists five entrypoint records, and the analyzer reports 41 bounded execution paths, 5 of them listed, covering datasette/__main__.py and datasette/app.py. The listed path from the __main__ guard reaches cli in datasette/cli.py as a local call and stops as a leaf; the four listed datasette/app.py paths stop at unresolved boundaries (Path, logging.getLogger, contextvars.ContextVar, collections.namedtuple). Beyond these records, runtime behaviour is not established: the analysis is static-only and does not resolve dynamic imports or framework wiring.

Project-level important files are README.md, pyproject.toml, package.json and LICENSE. Five further files are flagged as likely entrypoints: datasette/__main__.py, tests/build_small_spatialite_db.py, tests/fixtures.py, datasette/app.py and datasette/cli.py. The analyzer's teaching claims point the way: read README.md early, read datasette/cli.py early, start with manifests and important symbols, trace the bounded execution path and inspect unresolved boundaries before changing code, and begin modification analysis at datasette/app.py, verifying downstream effects manually. Top level, the summary counts datasette (135 files), tests (102), docs (50), .github (17), demos (7) and 22 at the root — 333 in all. Tests exist: the summary reports 102 test-like files, and two guard-bearing scripts noted above sit under tests/.

Commands: install/run/build inference is partial and installation commands are not verified, so nothing above is a run recipe. Dependencies: only requirements-style manifests parsed by v0.10 feed the records, so pyproject.toml's dependency tables are absent. README text: extraction is line-based and may capture code lines instead of prose, so README-derived statements are author-claimed at most. Method: the analysis is static only — reflection, runtime dependency injection, dynamic imports, monkey-patching, generated code, framework runtime wiring and dynamic dispatch are not resolved — and bounded: oversized, minified and vendored files are inventoried but not parsed, with relation extraction capped at 2500 per file and 150000 per repository. Analyzer-capability fields describe the tool, not the repository. Two packet inconsistencies: one teaching claim says no bounded execution path exists while the packet reports 41 (5 listed), and the inferred purpose text says 'web or Node.js application' although the language hint says Python. Runtime behaviour, performance, security and quality characteristics are not established by this analysis.

As author-claimed metadata, the repository description reads "An open source multi-tool for exploring and publishing data" and the homepage field lists https://datasette.io; this analysis neither verifies nor extends those fields.