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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
MLRun/Iguazio/Nuclio quality gate solution. The solution checks a quality of MLRun implementation/delivery.
| Date | Stars |
|---|---|
| 2026-07-24 | 302 |
| 2026-07-25 | 302 |
| 2026-07-28 | 302 |
| 2026-07-30 | 302 |
| 2026-08-06 | 302 |
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growth rate 0.00%/day
[](https://opensource.org/licenses/Apache-2.0) [](https://pypi.python.org/pypi/qgate-sln-mlrun/)    # QGate-Sln-MLRun The Quality Gate for solution [MLRun](https://www.mlrun.org/) (and [Iguazio](https://www.iguazio.com/)). The main aims of the project are: - independent quality test (function, integration, performance, vulnerability, acceptance, ... tests) - deeper quality checks before full rollout/use in company environments - identification of possible compatibility issues (if any) - external and independent test coverage - community support - etc. The tests use these key components, MLRun solution see **[GIT mlrun](https://github.com/mlrun/mlrun)**, sample meta-data model see **[GIT qgate-model](https://github.com/george0st/qgate-model)** and this project. ## Test scenarios The quality gate covers these test scenarios (✅ done, ✔ in-progress, ❌ planned): - **01 - Project** - ✅ TS101: Create project(s) - ✅ TS102: Delete project(s) - **02 - Feature set** - ✅ TS201: Create feature set(s) - ✅ TS202: Create feature set(s) & Ingest from DataFrame source (one step) - ✅ TS203: Create feature set(s) & Ingest from CSV source (one step) - ✅ TS204: Create feature set(s) & Ingest from Parquet source (one step) - ✅ TS205: Create feature set(s) & Ingest from SQL source (one step) - ✔ TS206: Create feature set(s) & Ingest from Kafka source (one step) - ✔ TS207: Create feature set(s) & Ingest from HTTP source (one step) - **03 - Ingest data** - ✅ TS301: Ingest data (Preview mode) - ✅ TS302: Ingest data to feature set(s) from DataFrame source - ✅ TS303: Ingest data to feature set(s) from CSV source - ✅ TS304: Ingest data to feature set(s) from Parquet source - ✅ TS305: Ingest data to feature set(s) from SQL source - ✔ TS306: Ingest data to feature set(s) from Kafka source - ✔ TS307: Ingest data to feature set(s) from HTTP source - **04 - Ingest data & pipeline** - ✅ TS401: Ingest data & pipeline (Preview mode) - ✅ TS402: Ingest data & pipeline to feature set(s) from DataFrame source - ✅ TS403: Ingest data & pipeline to feature set(s) from CSV source - ✅ TS404: Ingest data & pipeline to feature set(s) from Parquet source - ✅ TS405: Ingest data & pipeline to feature set(s) from SQL source - ✔ TS406: Ingest data & pipeline to feature set(s) from Kafka source - ❌ TS407: Ingest data & pipeline to feature set(s) from HTTP source - **05 - Feature vector** - ✅ TS501: Create feature vector(s) - **06 - Get data from vector** - ✅ TS601: Get data from off-line feature vector(s) - ✅ TS602: Get data from on-line feature vector(s) - **07 - Pipeline** - ✅ TS701: Simple pipeline(s) - ✅ TS702: Complex pipeline(s) - ✅ TS703: Complex pipeline(s), mass operation - **08 - Build model** - ✅ TS801: Build CART model - ❌ TS802: Build XGBoost model - ❌ TS803: Build DNN model - **09 - Serve model** - ✅ TS901: Serving score from CART - ❌ TS902: Serving score from XGBoost - ❌ TS903: Serving score from DNN - **10 - Model monitoring/drifting** - ❌ TS1001: Real-time monitoring - ❌ TS1002: Batch monitoring - **11 - Performance tests** - ❌ TS1101: Simple pipeline - ❌ TS1102: Complex pipeline(s) - ❌ TS11xx: TBD. NOTE: Each test scenario contains addition specific test cases (e.g. with different targets for feature sets, etc.). ## Test inputs/outputs The quality gate tests these inputs/outputs (✅ done, ✔ in-progress, ❌ planned): - Outputs (targets) - ✅ RedisTarget, ✅ SQLTarget/MySQL, ✔ SQLTarget/Postgres, ✅ KafkaTarget
Excerpt of 7,544 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:955203208d39d4fa, topic:mlops, topic:feature-store
matched fp:955203208d39d4fa, topic:testing