Looking for something like Jupyter Notebook? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 1 are free or have a free plan and 12 are open source.
Jupyter Notebook combines live code, equations, explanatory text, visualizations, and interactive computing in a web platform.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | Jupyter Widgets official documentation | — | Not stated | Web |
| 2 | spaCy | Free | Not stated | Web |
| 3 | Vaex | — | Not stated | Web |
| 4 | MIT Information Extraction Toolkit | — | Not stated | — |
| 5 | A gallery of interesting IPython notebooks | — | Yes | — |
| 6 | zipline | — | Yes | — |
| 7 | Neuraxle | — | Yes | — |
| 8 | torchaudio | — | Yes | — |
| 9 | Mars | — | Yes | — |
| 10 | Accord.NET | — | Not stated | Web |
Jupyter Widgets provides interactive Python objects for notebook interfaces, including controls such as sliders and text boxes.
spaCy provides Python natural language processing tools for entity recognition, tagging, parsing, and word vectors.
Vaex provides out-of-core DataFrames for Python to explore and visualize large tabular datasets, with support for machine learning workflows.
MITIE provides a library and tools for extracting information from text.
Browse a gallery of interesting Jupyter notebooks on this project wiki, with examples from notebook users.
Python developers can use Zipline’s event-driven library to backtest algorithmic trading strategies.
Automatic machine learning, hyperparameter tuning, and pipeline abstractions are provided by the Neuraxle software library.
torchaudio provides data manipulation and transformation tools for audio signal processing with PyTorch.
Mars provides tensor-based tools for large-scale computation with NumPy, Pandas, and scikit-learn.
Accord.NET combines machine learning with audio and image processing libraries in a C# framework.
For parallel computing in Python, Dask extends familiar tools to handle larger workloads.
Opyrator turns machine learning code into microservices with a web API and interactive interface.
Jupytext lets users represent Jupyter notebooks as Markdown documents or Julia, Python, and R scripts.
Interactive scientific visualization in Python is supported by VisPy, a library that uses OpenGL for rendering.
anywidget makes reusable widgets easier to build for notebooks and interactive applications.
Julia-language backend combined with the Jupyter interactive environment.
jSciPy provides Java scientific computing tools for signal processing, FFT, filtering, power spectral density, and DCT.
NumPy provides n-dimensional arrays and numerical computing tools for Python.
regex101 tests and debugs regular expressions with live matches, explanations, and support for several regex engines.
Jupyter Notebook provides an interactive notebook interface for working with code and documents.
Browse large JSONL, Parquet, and CSV datasets in VS Code with the Bread Dataset Viewer extension.
Grit provides declarative code search and transformation through its GritQL language.
dlib provides C++ libraries for image processing, machine learning, and related algorithms.
Apache Storm is an open-source distributed system for processing unbounded streams of data in real time.
Alternatives are suggested from the purpose and features described in our listings. Different pages for the same product appear once. Read each description to check whether it fits your task. How we choose alternatives · Suggest an alternative
