MindsDB VS Keras

Compare MindsDB vs Keras and see what are their differences.

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MindsDB Keras
76 74
20,007 60,552
1.3% 0.6%
10.0 9.8
7 days ago 2 days ago
Python Python
GNU General Public License v3.0 or later 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.


Posts with mentions or reviews of MindsDB. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-01.
  • Fine-tuning a Mistral Language Model with Anyscale
    2 projects | dev.to | 1 Feb 2024
    Make sure you install the requirements for the Anyscale Endpoints integration.
    2 projects | dev.to | 1 Feb 2024
    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
    13 projects | news.ycombinator.com | 14 Jan 2024
  • FLaNK Weekly 08 Jan 2024
    41 projects | dev.to | 8 Jan 2024
  • MindsDB Docker Extension: Build ML powered apps at a much faster pace
    3 projects | dev.to | 1 Jan 2024
    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.
    3 projects | dev.to | 1 Jan 2024
    MindsDB Project Repo
  • How Modern SQL Databases Are Changing Web Development - #4 Into the AI Era
    3 projects | dev.to | 29 Dec 2023
    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":
  • 🐍🐍 23 issues to grow yourself as an exceptional open-source Python expert 🧑‍💻 🥇
    10 projects | dev.to | 19 Oct 2023
    Repo : https://github.com/mindsdb/mindsdb
  • AI-Powered Selection of Asset Management Companies using MindsDB and LlamaIndex
    3 projects | dev.to | 18 Sep 2023
    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.
    3 projects | dev.to | 18 Sep 2023
    You check out MindsDB by signing up for a demo account. If you would like to learn more you can visit MindsDB's Documentation. If you want to contribute to MindsDB, visit their Github repository and if you like it give it a star. MindsDB has a vibrant Slack Community and amazing team that provides technical support, if you would like to join you can sign up here.


Posts with mentions or reviews of Keras. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-28.
  • Keras 3.0
    4 projects | news.ycombinator.com | 28 Nov 2023
    All breaking changes are listed here: https://github.com/keras-team/keras/issues/18467

    You can use this migration guide to identify and fix each of these issues (and further, making your code run on JAX or PyTorch): https://keras.io/guides/migrating_to_keras_3/

  • Can someone explain how keras code gets into the Tensorflow package?
    2 projects | /r/tensorflow | 24 Jul 2023
    I'm guessing the "real" keras code is coming from the keras repository. Is that a correct assumption? How does that version of Keras get there? If I wanted to write my own activation layer next to ELU, where exactly would I do that?
  • How popular are libraries in each technology
    21 projects | dev.to | 21 Jun 2023
    Other popular machine learning tools include PyTorch, Keras, and Scikit-learn. PyTorch is an open-source machine learning library developed by Facebook that is known for its ease of use and flexibility. Keras is a high-level neural networks API that is written in Python and is known for its simplicity. Scikit-learn is a machine learning library for Python that is used for data analysis and data mining tasks.
  • List of AI-Models
    14 projects | /r/GPT_do_dah | 16 May 2023
    Click to Learn more...
  • I got advice on building ai apps.
    2 projects | /r/learnprogramming | 26 Apr 2023
    Keras documentation: https://keras.io/
  • Mastering Data Science: Top 10 GitHub Repos You Need to Know
    10 projects | dev.to | 24 Apr 2023
    3. Keras Keras is a high-level neural networks API written in Python that’s built on top of TensorFlow. It’s designed to enable fast experimentation with deep learning, allowing you to build and train models with just a few lines of code. If you’re new to deep learning or just want a more user-friendly interface, Keras is the way to go.
  • How to query pandas DataFrames with SQL
    5 projects | dev.to | 1 Feb 2023
    Pandas comes with many complex tabular data operations. And, since it exists in a Python environment, it can be coupled with lots of other powerful libraries, such as Requests (for connecting to other APIs), Matplotlib (for plotting data), Keras (for training machine learning models), and many more.
  • The Essentials of a Contributor-friendly Open-source Project
    2 projects | dev.to | 18 Jan 2023
    Our trick is to support GitHub Codespaces, which provides a web-based Visual Studio Code IDE. The best thing is you can specify a Dockerfile with all the required dependency software installed. With one click on the repo’s webpage, your contributors are ready to code. Here is our setup for your reference.
    7 projects | dev.to | 16 Jan 2023
    If you’re looking for further resources on running TensorFlow and Keras on a newer MacBook, I recommend checking out this YouTube video: How to Install Keras GPU for Mac M1/M2 with Conda
  • Doing k-fold analysis
    2 projects | /r/tensorflow | 25 Dec 2022
    The thing that pops right into my mind is the following issue: https://github.com/keras-team/keras/issues/13118 People are still reporting memory leaks when calling model.predict and I wouldn't be surprised if model.fit also leaked when called multiple times. Maybe this is a good starting point for your investigation. If this is unrelated, I'm sorry in forward.

What are some alternatives?

When comparing MindsDB and Keras you can also consider the following projects:

MLP Classifier - A handwritten multilayer perceptron classifer using numpy.

scikit-learn - scikit-learn: machine learning in Python

Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

tensorflow - An Open Source Machine Learning Framework for Everyone

pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]

Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

TFLearn - Deep learning library featuring a higher-level API for TensorFlow.

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration


PaddlePaddle - PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)