blaze/blaze
NumPy and Pandas interface to Big Data observed · 2026-08-28
Health v2 · maintenance only
23/100
- Activity 0
- Release rhythm 8
- Longevity 100
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: 5059
- days_rel: n/a
- days_push: 1069
- n_releases_24m: 0
Adoption not part of the score
3189 stars · 390 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Blaze is a Python library that provides a NumPy/Pandas-like interface for querying data living in databases, files, and other computing systems. It translates a subset of Pandas-like syntax into queries for backends like SQL databases, Spark, and Pandas, without performing computation itself.
Use cases
- query a postgres database with pandas-like syntax
- inspect large datasets without pulling them into memory
- write one interface that works across sql, spark, and pandas
- explore data in foreign databases from python
- translate python dataframe expressions into sql
When to choose
- you want a familiar pandas/numpy interface over data in databases or spark
- you need to query large datasets without loading them locally
- you want backend-agnostic data expressions in python
When to avoid
- you need the full pandas or numpy api
- you need a library under active development - the project is largely inactive
- you want a tool that performs computation itself rather than delegating to other systems
Facets
library · maturity maintenance
database data-science etl data-science databases big-data python cross-platform numpy pandas query-translation dataframes sql
1 source
- readme: https://github.com/blaze/blaze · fetched 2026-08-28 · 8b241df0125e
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| blaze/blaze | main | 23 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem