Textualize / rich · Getting started

Repository metadata describes Rich as a Python library for rich text and formatting in the terminal; this is the author's own description, not an analyzer finding. The recorded primary language is Python, and language byte counts are dominated by Python (1,701,402 bytes), with small Batchfile (799) and Makefile (307) shares. The license is recorded as MIT and the repository is marked open-source. The latest recorded release is v15.0.0, published 2026-04-12. Metadata records 57,362 stargazers as of 2026-09-14. The analyzer's summary reports 553 analyzed files.

docs/requirements.txt is the only manifest with dependency records in this packet: all four records list it as their source. The recorded dependencies are alabaster==1.0.0, Sphinx==8.2.3, sphinx-rtd-theme==3.0.2 and sphinx-copybutton==0.5.2, each with an exact '==' pin and scope 'runtime'. The names suggest a Sphinx documentation toolchain, but the records do not establish what the package's runtime requirements are. pyproject.toml is present and flagged as a project-level important file, but its dependency tables are not parsed by this analyzer version, so dependencies declared there do not appear in the records. No installation command is verified by this analysis.

The analyzer recorded 63 entrypoints; this packet lists 20 of them, and each listed record contains a Python __main__ guard. The setup.py guard calls setuptools.setup(name="rich"), so that file is package-setup code rather than an application. Example entrypoints include: print_calendar.py's guard parses a year argument and calls print_calendar(args.year); cp_progress.py's guard takes two command-line paths and copies the first through a Progress display; downloader.py's guard calls download() on its arguments; suppress.py's guard calls hello(). Inside the rich/ package, the listed guards are demo snippets: rich/__init__.py prints a hello line, and rich/__main__.py builds a Console with force_terminal=True writing into an in-memory stream. The analyzer separately flags examples/attrs.py, examples/cp_progress.py, examples/downloader.py and examples/print_calendar.py as likely entrypoints, and reports that no clear executable starting point was established statically. The five bounded execution paths recorded for examples/attrs.py:__main__ end immediately: at print, SystemExit or attr.Factory marked external_or_unresolved, or at the local Model class. Runtime behaviour beyond these records is not established.

Project-level important files are README.md, pyproject.toml, setup.py and LICENSE; the analyzer's teaching claims recommend reading the first three early. Its learning path suggests starting with manifests and important symbols, then tracing bounded execution paths and unresolved boundaries before changing code, while the modify guide states that no reliable modification starting point was established. The largest top-level directories are benchmarks (182 files), rich (101), docs (69), tests (68) and examples (37), plus 39 files at the repository root. The summary reports 68 test-like files, so a test suite exists under tests/.

No installation, build or run command is verified; install and run inference is partial by design. Dependency coverage is partial too: records come only from requirements-style manifests, and pyproject.toml's dependency tables are not parsed. README extraction is line-based and may capture code lines instead of prose, so treat README-derived statements as author claims at most. The analysis is static only: reflection, dynamic imports, monkey-patching, generated code, framework runtime wiring and dynamic dispatch are not resolved. It is also bounded: files over 400 kB, minified bundles and vendored directories are inventoried but not parsed, and relation extraction is capped per file and per repository. One internal tension is worth noting: the summary says the main starting place appears to be setup.py, while the analyzer also reports that no clear executable starting point was established — treat both as analyzer interpretations, not established facts.

These are author claims from the project's GitHub metadata, not analyzer findings. The description reads: 'Rich is a Python library for rich text and beautiful formatting in the terminal.' The recorded homepage is https://rich.readthedocs.io/en/latest/. The project's topics include ansi-colors, emoji, markdown, progress-bar, python, python-library, python3, syntax-highlighting, tables, terminal, traceback and tui. That these self-descriptions are accurate is not established by this analysis.