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adqa

PyPIInfrastructure

PulseGate's liveness check found it on 13 Sep 2026; it is registered on GitHub and PyPI and has been in the index since 29 Jun 2026. How this is checked

adqa is an open-source autonomous agent that profiles datasets, detects data quality issues, explains problems, and proposes automated fixes. It is designed for data engineers and teams seeking to improve data reliability and observability in their pipelines.

Inferred · not functionally tested

Open SourceMITCLIAPISelf-hosted
Visit PyPI
1star
6features
2025since

Overview

6 features

Purpose: Automating the detection and remediation of data quality issues in datasets.

Inferred · not functionally tested

Audience: data engineers

Inferred · not functionally tested

Functions: data_extraction, agents, monitoring

Inferred · not functionally tested

Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli, api_only, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: pypi.org · github.com. These links do not verify the individual claims.

adqa sits in PulseGate's Other data science & ML category. Inferred · not functionally tested: It focuses on automating the detection and remediation of data quality issues in datasets. Inferred · not functionally tested: It is built as an open-source project for data engineers. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: It runs on the command line and API, and it can be self-hosted.

Behind adqa is Mohammad Talaat, and it first shipped in 2025. The project is developed in the open on GitHub with 108 commits in the last 90 days. Inferred · not functionally tested: Among its 6 catalogued features are data profiling, quality detection, and issue explanation.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Data profiling
  • Quality detection
  • Issue explanation
  • Automated fixes
  • Observability
  • Data lineage

Topics: Inferred · not functionally tested

Tags
data-qualityautonomous-agentdataops
AI capabilities
Structured
Weights: Open

JSON profile · Text profile · Access guide

Built with & integrations

AI providers
openai
Runs on
CLIAPI-onlySelf-hosted

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceFree tierGitHub · ★ 1Active maintenance

Indexing history

What PulseGate has recorded for this listing

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Frequently asked questions about adqa

What does adqa do?
Inferred · not functionally tested: Adqa focuses on automating the detection and remediation of data quality issues in datasets. It is catalogued under Other data science & ML on PulseGate.
Who is adqa for?
Inferred · not functionally tested: adqa is an open-source project built for data engineers.
Does adqa have a free plan?
Basis unknown · not verified: Yes — adqa is open source under the MIT license and free to use.
What platforms does adqa run on?
Basis unknown · not verified: adqa runs on the command line and API. It can also be self-hosted.
Is adqa still maintained?
PulseGate's liveness check found it on 13 Sep 2026. Its GitHub repository shows 108 commits in the last 90 days.
What projects are similar to adqa?
Similar projects tracked by PulseGate include qa-agent, autodq, and qaas-python.qa-agentautodqqaas-python
Who develops adqa?
adqa is developed by Mohammad Talaat.
How long has adqa been around?
adqa first shipped in 2025.

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