Software Alternatives, Accelerators & Startups

Data Science

The best Data Science Products based on votes, our collection of reviews, verified products and a total of 164 factors.

Best Data Science Products in 2024

  1. 17

    Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

    Key Databricks features:

    Unified Data Analytics Platform Scalability Collaborative Environment Performance Optimization

    Open Source

    /databricks-alternatives
  2. Activating humanity's potential through generative AI. Open models in every modality, for everyone, everywhere.

    /stability-alternatives
  3. 10

    An advanced purely-functional programming language.

    Key Haskell features:

    Pure Functional Programming Strong Type System Lazy Evaluation Immutability

    Open Source

    /haskell-alternatives
  4. GPT-3 access without the wait.

    Key OpenAI features:

    Advanced AI Research User-Friendly Tools Broad Application Scope Commitment to Safety

    Open Source

    /openai-alternatives
  5. Explore top jobs in Data Science, Machine Learning, & AI Engineering. Start your career today.

    free

    /top-ai-jobs-alternatives
  6. 10

    Clojure is a dynamic, general-purpose programming language, combining the approachability and interactive development of a scripting language with an efficient and robust infrastructure for multithreaded programming.

    Key Clojure features:

    Functional Programming Paradigm Interoperability with Java REPL Driven Development Concise Syntax

    Open Source

    /clojure-alternatives
  7. 10

    A safe, concurrent, practical language.

    Key Rust features:

    Memory Safety Performance Concurrency Tooling

    Open Source

    /rust-alternatives
  8. Become an AI-Driven Enterprise with Automated Machine Learning.

    Key datarobot features:

    Ease of Use Automated Machine Learning (AutoML) Scalability Integration

    Open Source

    /datarobot-alternatives
  9. 10

    Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.

    Key Python features:

    Easy to Learn Versatile Large Standard Library Strong Community Support

    Open Source

    /python-alternatives
  10. 11

    Julia is a sophisticated programming language designed especially for numerical computing with specializations in analysis and computational science. It is also efficient for web use, general programming, and can be used as a specification language.

    Key Julia features:

    High Performance Ease of Use Strong Support for Mathematical Computing Multiple Dispatch

    Open Source

    /julia-alternatives
  11. A collaboration platform for data scientists.

    Key Deepnote features:

    Collaborative Features Integration with Popular Tools User-Friendly Interface Cloud-Based

    /deepnote-alternatives
  12. TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

    Key TensorFlow features:

    Comprehensive Ecosystem Community and Support Flexibility Integrations

    Open Source

    /tensorflow-alternatives
  13. All startup jobs in one place. Check out 10,000s of jobs at the fastest growing startups around the world.

    Key Startup Jobs features:

    Wide Range of Opportunities Focus on Startups Networking Potential Growth Opportunities

    /startup-jobs-alternatives

Was this Data Science alternatives list helpful? Your feedback is important!

Yes No

27 out of 32 people consider this list as helpful.
This is equivalent to 4.2 / 5 rating.

Latest alternatives update: