# blaze/blaze

NumPy and Pandas interface to Big Data

Repository: https://github.com/blaze/blaze
Canonical: https://ross.abutalabs.com/products/blaze
Language: Python
License: BSD-3-Clause
License Family: permissive
Last push: 2023-09-29T10:03:58+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 5059, "days_push": 1069, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3189, forks 390 (observed 2026-08-28T04:07:48.106330+00:00)

## What it is
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
- artifact type: library
- maturity: maintenance
- function: database, data-science, etl
- domain: data-science, databases, big-data
- platform: python, cross-platform
- tags: numpy, pandas, query-translation, dataframes, sql

## Member repositories
- blaze/blaze (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:48.106330+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:24:56.895061+00:00, confidence not recorded.
  - readme: https://github.com/blaze/blaze (fetched 2026-08-28T04:07:48.106330+00:00, sha 8b241df0125e)
- Data as of 2026-08-30T08:39:29.467469+00:00.