wireservice/agate
A Python data analysis library that is optimized for humans instead of machines. observed · 2026-08-28
Health v2 · maintenance only
75/100
- Activity 94
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 4513
- days_rel: n/a
- days_push: 41
- n_releases_24m: 0
Adoption not part of the score
1198 stars · 164 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
agate is a Python data analysis library optimized for humans instead of machines, offering a readable alternative to numpy and pandas. It provides table-based data manipulation, aggregation, and computation for real-world analysis problems.
Use cases
- analyze csv data with readable python code
- compute aggregates and statistics over tabular data
- filter and sort datasets without pandas complexity
- clean and transform messy real-world data
- generate summary tables for journalism or reporting
- replace pandas for simpler human-friendly workflows
When to choose
- you want readable, human-friendly data analysis code
- your datasets are small to medium sized tabular data
- you find pandas' API too complex for simple analysis tasks
- you work in journalism or reporting with csv/spreadsheet data
When to avoid
- you need high performance on very large datasets
- you rely on pandas' extensive ecosystem or numpy interop
- you need advanced time-series or machine-learning features
Facets
library · maturity stable
data-science etl data-science analytics python cross-platform data-analysis tables csv readable-code pandas-alternative
2 sources
- readme: https://github.com/wireservice/agate · fetched 2026-08-28 · 9afdde9f5c32
- registry_pypi: https://pypi.org/pypi/agate/json · fetched 2026-08-29 · c353d08f7f24
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| wireservice/agate | main | 75 |
For agents
markdown · JSON · MCP: product_card(name="wireservice/agate")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem