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grai-core | MindsDB | |
---|---|---|
6 | 78 | |
269 | 21,223 | |
2.2% | 5.7% | |
9.5 | 10.0 | |
3 days ago | 6 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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.
grai-core
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Launch HN: Grai (YC S22) – Open-Source Data Observability Platform
Elastic v2 if one is interested in such things: https://github.com/grai-io/grai-core/blob/v0.1.33/LICENSE
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Standalone lineage tool
I’m not sure if this is precisely what you’re looking for but Grai might serve your needs. The backend data model allows you to push any arbitrary metadata you want / need onto the lineage graph and retrieve it either through the rest or graph API. I’m one of the authors so happy to answer any questions you might have.
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Data Load Diagram
We've been looking at building something like this for Grai specifically to support Airflow but haven't yet prioritized it.
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Grai, a self-hosted data lineage tool. Test downstream impact of data migration changes
We were frustrated because although we had tests in our data warehouse, they only notified us after an outage occurred. What we needed was a way to detect changes during CI/CD, so we could fix things before they impacted production. So we developed Grai, as an open-source data lineage toolkit pre-built integrations for the most common data stores and designed to work with CI tools, like Github Actions.
MindsDB
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What’s the Difference Between Fine-tuning, Retraining, and RAG?
Check us out on GitHub.
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How to Forecast Air Temperatures with AI + IoT Sensor Data
If your data lacks uniform time intervals between consecutive entries, QuestDB offers a solution by allowing you to sample your data. After that, MindsDB facilitates creating, training, and deploying your time-series models.
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Fine-tuning a Mistral Language Model with Anyscale
MindsDB is an open-source AI platform for developers that connects AI/ML models with real-time data. It provides tools and automation to easily build and maintain personalized AI solutions.
- Vanna.ai: Chat with your SQL database
- FLaNK Weekly 08 Jan 2024
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MindsDB Docker Extension: Build ML powered apps at a much faster pace
MindsDB combines both AI and SQL functions in one; users can create, train, optimize, and deploy ML models without the need for external tools. Data analysts can create and visualize forecasts without having to navigate the complexities of ML pipelines.MindsDB is open-source and works with well-known databases like MySQL, Postgres, Redit, Snowflakes, etc.
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How Modern SQL Databases Are Changing Web Development - #4 Into the AI Era
Mindsdb is a good example. It abstracts everything related to an AI workflow as "virtual tables". For example, you can import OpenAI API as a "virtual table":
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🐍🐍 23 issues to grow yourself as an exceptional open-source Python expert 🧑💻 🥇
Repo : https://github.com/mindsdb/mindsdb
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AI-Powered Selection of Asset Management Companies using MindsDB and LlamaIndex
MindsDB is an AI Automation platform for building AI/ML powered features and applications. It works by connecting any data source with any AI/ML model or framework and automating how real-time data flows between them. MindsDB is integrated with LlamaIndex, which makes use of its data framework for connecting custom data sources to large language models. LlamaIndex data ingestion allows you to connect to data sources like PDF’s, webpages, etc., provides data indexing and a query interface that takes input prompts from your data and provides knowledge-augmented responses, thus making it easy to Q&A over documents and webpages.
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Using Large Language Models inside your database with MindsDB
Now, imagine if you can deploy these highly trained models in your database to get insights, make predictions, understand your users, auto-generate content, and more. MindsDB makes this possible! MindsDB is an open-source AI database middleware that allows you to supercharge your databases by integrating various machine learning (ML) engines.
What are some alternatives?
dbt-snowflake-monitoring - A dbt package from SELECT to help you monitor Snowflake performance and costs
tensorflow - An Open Source Machine Learning Framework for Everyone
awesome-data-catalogs - 📙 Awesome Data Catalogs and Observability Platforms.
H2O - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
jupysql - Better SQL in Jupyter. 📊
postgresml - The GPU-powered AI application database. Get your app to market faster using the simplicity of SQL and the latest NLP, ML + LLM models.
django-pgschemas - Django multi-tenancy through Postgres schemas
CapRover - Scalable PaaS (automated Docker+nginx) - aka Heroku on Steroids
sqlparse - A non-validating SQL parser module for Python
scikit-learn - scikit-learn: machine learning in Python
ibis - the portable Python dataframe library
lightwood - Lightwood is Legos for Machine Learning.