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Tags / Data pipelines and messaging /

Data quality

A tool that validates data against tests, schemas, or expectations in pipelines.

The 21repositories with this Tag gained +1,174 net stars in the last 30 days, 18% more than the 30 days before.

1 created in the last 90 days · 8 published a release in the last 30 days · 86K stars in total

All in the Repository Index On Trending

Net stars each day, last 30 days+256 last 7 days

Oct 6, 2026Nov 4, 2026

Most net stars, last 30 days

stepll2026/OntiCards

TranslatedOntiCards is an enterprise-oriented AI Data Hub that offers one-stop capabilities around business databases: data source connection, metadata understanding, natural language query, cross-source fusion, data quality inspection, query auditing, data asset management, and more

+473

40% of the net stars of this Tag

Largest Pace, last 30 days

No other repository gained 2 or more times the net stars of the 30 days before.

Most stars, created in the last 90 days

No other repository with this Tag was created in the last 90 days.

Where the stars went, last 13 weeks

Net stars gained each week. The repositories that gained the most have their own color.

open-metadata/OpenMetadata gained 36% of the net stars of this Tag in the last 13 weeks.

open-metadata/OpenMetadata, week to Aug 12: +217 net starsevidentlyai/evidently, week to Aug 12: +16 net starsfivetran/great_expectations, week to Aug 12: +13 net starsbruin-data/bruin, week to Aug 12: +5 net starsAll other repositories, week to Aug 12: +52 net starsopen-metadata/OpenMetadata, week to Aug 19: +62 net starsevidentlyai/evidently, week to Aug 19: +24 net starsfivetran/great_expectations, week to Aug 19: +16 net starsbruin-data/bruin, week to Aug 19: +9 net starsAll other repositories, week to Aug 19: +51 net starsopen-metadata/OpenMetadata, week to Aug 26: +91 net starsevidentlyai/evidently, week to Aug 26: +27 net starsfivetran/great_expectations, week to Aug 26: +24 net starsbruin-data/bruin, week to Aug 26: +7 net starsAll other repositories, week to Aug 26: +44 net starsopen-metadata/OpenMetadata, week to Sep 2: +105 net starsstepll2026/OntiCards, week to Sep 2: +2 net starsevidentlyai/evidently, week to Sep 2: +35 net starsfivetran/great_expectations, week to Sep 2: +27 net starsbruin-data/bruin, week to Sep 2: +6 net starsAll other repositories, week to Sep 2: +37 net starsopen-metadata/OpenMetadata, week to Sep 9: +75 net starsstepll2026/OntiCards, week to Sep 9: +60 net starsevidentlyai/evidently, week to Sep 9: +23 net starsfivetran/great_expectations, week to Sep 9: +13 net starsbruin-data/bruin, week to Sep 9: +19 net starsAll other repositories, week to Sep 9: +31 net starsopen-metadata/OpenMetadata, week to Sep 16: +84 net starsstepll2026/OntiCards, week to Sep 16: +39 net starsevidentlyai/evidently, week to Sep 16: +20 net starsfivetran/great_expectations, week to Sep 16: +20 net starsbruin-data/bruin, week to Sep 16: +8 net starsAll other repositories, week to Sep 16: +44 net starsopen-metadata/OpenMetadata, week to Sep 23: +93 net starsstepll2026/OntiCards, week to Sep 23: +48 net starsevidentlyai/evidently, week to Sep 23: +16 net starsfivetran/great_expectations, week to Sep 23: +42 net starsbruin-data/bruin, week to Sep 23: +22 net starsAll other repositories, week to Sep 23: +64 net starsopen-metadata/OpenMetadata, week to Sep 30: +59 net starsstepll2026/OntiCards, week to Sep 30: +29 net starsevidentlyai/evidently, week to Sep 30: +20 net starsfivetran/great_expectations, week to Sep 30: +17 net starsbruin-data/bruin, week to Sep 30: +29 net starsAll other repositories, week to Sep 30: +50 net starsopen-metadata/OpenMetadata, week to Oct 7: +52 net starsstepll2026/OntiCards, week to Oct 7: +113 net starsevidentlyai/evidently, week to Oct 7: +28 net starsfivetran/great_expectations, week to Oct 7: +17 net starsbruin-data/bruin, week to Oct 7: +13 net starsAll other repositories, week to Oct 7: +32 net starsopen-metadata/OpenMetadata, week to Oct 14: +88 net starsstepll2026/OntiCards, week to Oct 14: +113 net starsevidentlyai/evidently, week to Oct 14: +17 net starsfivetran/great_expectations, week to Oct 14: +13 net starsbruin-data/bruin, week to Oct 14: +9 net starsAll other repositories, week to Oct 14: +61 net starsopen-metadata/OpenMetadata, week to Oct 21: +75 net starsstepll2026/OntiCards, week to Oct 21: +75 net starsevidentlyai/evidently, week to Oct 21: +11 net starsfivetran/great_expectations, week to Oct 21: +17 net starsbruin-data/bruin, week to Oct 21: +10 net starsAll other repositories, week to Oct 21: +49 net starsopen-metadata/OpenMetadata, week to Oct 28: +74 net starsstepll2026/OntiCards, week to Oct 28: +123 net starsevidentlyai/evidently, week to Oct 28: +21 net starsfivetran/great_expectations, week to Oct 28: +21 net starsbruin-data/bruin, week to Oct 28: +4 net starsAll other repositories, week to Oct 28: +44 net starsopen-metadata/OpenMetadata, week to Nov 4: +60 net starsstepll2026/OntiCards, week to Nov 4: +124 net starsevidentlyai/evidently, week to Nov 4: +22 net starsfivetran/great_expectations, week to Nov 4: +9 net starsbruin-data/bruin, week to Nov 4: +9 net starsAll other repositories, week to Nov 4: +32 net stars

Compare growth

7 of 21 repositories: Created more than 2 years ago, with a push in the last 7 days and a GitHub release in the last 30 days. Select a column name to change the order.

#RepositoryStarsGained, 7 daysPace
1open-metadata/OpenMetadata

The Open Context Layer for Data and AI , OpenMetadata is the open platform for building trusted data context and business semantics for humans, AI assistants, and agents.

16K+600.8×
2fivetran/great_expectations

Always know what to expect from your data.

12K+90.4×
3unionai-oss/pandera

A light-weight, flexible, and expressive statistical data testing library

4.5K+9–
4bruin-data/bruin

Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.

1.8K+9–
5capitalone/datacompy

Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!

665+1–
6GoogleCloudPlatform/professional-services-data-validator

Utility to compare data between homogeneous or heterogeneous environments to ensure source and target tables match

535+3–
7posit-dev/pointblank

Data validation toolkit for assessing and monitoring data quality.

498+1–

Faster than the 30 days before

Net stars of the last 30 days are 2 or more times those of the 30 days before.

  1. stepll2026/OntiCards2.1× · +473

Slower than the 30 days before

Net stars of the last 30 days are 50% or less of those of the 30 days before.

No repository with this Tag meets this rule now.

New in the last 90 days

Created on GitHub in the last 90 days.

  1. stepll2026/OntiCards+473 · 2 months ago

Older than 2 years, still releasing

Created more than 2 years ago, with a push in the last 7 days and a GitHub release in the last 30 days.

  1. open-metadata/OpenMetadata16K · release 8 days ago
  2. fivetran/great_expectations12K · release 13 days ago
  3. unionai-oss/pandera4.5K · release 11 days ago
  4. bruin-data/bruin1.8K · release today
  5. capitalone/datacompy665 · release 8 days ago
All 7 in the table

Last release more than 180 days ago

The newest GitHub release is more than 180 days old. A repository that never published a release is not in this list.

  1. cleanlab/cleanlab12K · release 9 months ago
  2. deepchecks/deepchecks4.1K · release last year
  3. datafold/data-diff3K · release 2 years ago
  4. sfu-db/dataprep2.3K · release 4 years ago
  5. mrpowers-io/quinn691 · release last year
All 7 in the table

How a repository gets this Tag

An agent reads the description, the GitHub topics, and the start of the README of each repository. It chooses Tags only from the Tag list in the AwesomeRepos source code. For each Tag, it quotes the text. A code check keeps the Tag only when the quote is in that text. The page of each repository shows the quote of each of its Tags. A Tag does not rank repositories. It does not say that one repository can replace another. To report a wrong Tag, use "Report a problem with this page" on the page of the repository.

How the numbers are counted

All numbers come from the Star History of the repositories that have the Tag now. A period is a run of complete UTC days. All numbers on this page count only the repositories that AwesomeRepos shows in lists. A machine computes them each hour.

For each repository, a period counts only when Star History has each of its days, or when the repository was created in the period. Otherwise the table shows "–". The bars of a week with no complete data are grey.

The Pace is the net stars of a period divided by the net stars of the period before. It shows only when Star History covers each day of the period before, with at least 3 net stars a day on average.

The chart at the top adds up the net stars of all the repositories with the Tag. A rising Admission comes into the Repository Index because it gained stars quickly. Its Star History before its Admission comes from the Repository Host. Thus the days before many rising Admissions are higher than they were for the repositories in the index at that time.

The releases are the GitHub releases of each repository. The lists and the table do not rank repositories, and they do not say that one repository can replace another.