fastapi-dramatiq-data-ingestion VS great_expectations

Compare fastapi-dramatiq-data-ingestion vs great_expectations and see what are their differences.

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fastapi-dramatiq-data-ingestion great_expectations
1 15
44 10,160
- 0.9%
3.8 9.9
over 3 years ago 7 days ago
Python Python
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

fastapi-dramatiq-data-ingestion

Posts with mentions or reviews of fastapi-dramatiq-data-ingestion. We have used some of these posts to build our list of alternatives and similar projects.

great_expectations

Posts with mentions or reviews of great_expectations. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-24.

What are some alternatives?

When comparing fastapi-dramatiq-data-ingestion and great_expectations you can also consider the following projects:

Prefect - The easiest way to build, run, and monitor data pipelines at scale.

evidently - Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

pydantic-factories - Simple and powerful mock data generation using pydantic or dataclasses

soda-core - :zap: Data quality testing for the modern data stack (SQL, Spark, and Pandas) https://www.soda.io

cookiecutter-django - Cookiecutter Django + PostGres + Docker + DramatiQ

deepchecks - Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️

seldon-core - An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]

metaflow - Open Source AI/ML Platform

fastapi-starter-project - FastAPI Starter Project with SQLModel and Alembic

feast - The Open Source Feature Store for Machine Learning

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