# HumanSignal/Adala

Adala: Autonomous DAta (Labeling) Agent framework

Repository: https://github.com/HumanSignal/Adala
Canonical: https://ross.abutalabs.com/products/adala
Homepage: https://humansignal.github.io/Adala/
Language: Python
License: Apache-2.0
License Family: permissive
Topics: agent, agent-based-framework, agent-oriented-programming, autonomous-agents, gpt-4
Last push: 2026-08-09T08:57:59+00:00

## Health v2 (maintenance only)
Score: 62/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 96, release rhythm 8, longevity 78
- inputs: {"age_days": 1099, "days_push": 24, "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 1623, forks 157 (observed 2026-08-28T04:05:12.628605+00:00)

## What it is
Adala is a Python framework for building autonomous data labeling agents powered by LLMs. Agents learn skills iteratively from a ground truth dataset provided by the user and apply them to label and process new data.

## Use cases
- label text data with llm agents
- classify sentiment of reviews automatically
- build autonomous data labeling pipeline
- train an agent from a ground truth dataset
- automate dataset annotation with gpt-4
- process and label large csv datasets with ai

## When to choose
- you need LLM-based data labeling grounded in ground truth examples
- you want agents that iteratively learn labeling skills
- you work in Python with pandas DataFrames and OpenAI-compatible runtimes

## When to avoid
- you need fully deterministic, non-LLM labeling
- you want a turnkey annotation UI rather than a code framework
- your project avoids sending data to external LLM providers

## Facets
- artifact type: framework
- maturity: active
- function: agent-framework, machine-learning, llm-inference, data-science, etl
- domain: artificial-intelligence, large-language-models, data-science, machine-learning
- platform: python, cross-platform
- tags: data-labeling, autonomous-agents, llm, ground-truth, classification, ai-agents

## Member repositories
- HumanSignal/Adala (main) score 62

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:12.628605+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 2026-08-30T03:48:48.456925+00:00, confidence not recorded.
  - readme: https://github.com/HumanSignal/Adala (fetched 2026-08-28T04:05:12.628605+00:00, sha 7e10634cba32)
  - homepage: https://humansignal.github.io/Adala/ (fetched 2026-08-29T11:21:35.614743+00:00, sha 02c0dee10ede)
- Data as of 2026-08-30T08:39:29.467469+00:00.