adqa
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.
Overview
6 featuresadqa sits in PulseGate's Other AI category. It focuses on automating the detection and remediation of data quality issues in datasets. It is built as an open-source project for data engineers. The project is open source (MIT). 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. 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.
- Data profiling
- Quality detection
- Issue explanation
- Automated fixes
- Observability
- Data lineage
Built with & integrations
Trust & compliance
Indexing history
What PulseGate has recorded for this listing
Frequently asked questions about adqa
- What does adqa do?
- Adqa focuses on automating the detection and remediation of data quality issues in datasets. It is catalogued under Other AI on PulseGate.
- Who is adqa for?
- adqa is an open-source project built for data engineers.
- Does adqa have a free plan?
- Yes — adqa is open source under the MIT license and free to use.
- What platforms does adqa run on?
- adqa runs on the command line and API. It can also be self-hosted.
- Is adqa still maintained?
- The 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 qaradar.qa-agentautodqqaradar
- Who develops adqa?
- adqa is developed by Mohammad Talaat.
- How long has adqa been around?
- adqa first shipped in 2025.
Similar projects
Closest matches by what these projects do