OpenCV
opencv.orgOpenCV provides computer vision libraries, tools, and hardware support for real-time optimized applications.
Looking for something like Storm? 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.
Apache Storm is an open-source distributed system for processing unbounded streams of data in real time.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | OpenCV | — | Not stated | Web |
| 2 | torchaudio | — | Yes | — |
| 3 | Accord.NET | — | Not stated | Web |
| 4 | DLib | — | Not stated | Web |
| 5 | Microsoft ML for Apache Spark | — | Yes | — |
| 6 | Geni | — | Yes | — |
| 7 | H2O Sparkling Water | — | Yes | — |
| 8 | spaCy | Free | Not stated | Web |
| 9 | gensim | — | Yes | — |
| 10 | jSciPy | — | Yes | Android |
OpenCV provides computer vision libraries, tools, and hardware support for real-time optimized applications.
torchaudio provides data manipulation and transformation tools for audio signal processing with PyTorch.
Accord.NET combines machine learning with audio and image processing libraries in a C# framework.
dlib provides C++ libraries for image processing, machine learning, and related algorithms.
SynapseML provides distributed machine learning algorithms for Spark through its Python library.
The Geni project provides a Clojure dataframe library that runs on Apache Spark.
Sparkling Water brings H2O machine learning functionality into an Apache Spark cluster.
spaCy provides Python natural language processing tools for entity recognition, tagging, parsing, and word vectors.
Python developers can use gensim for topic modeling and related natural language processing tasks.
jSciPy provides Java scientific computing tools for signal processing, FFT, filtering, power spectral density, and DCT.
Apache Flink performs stateful computations on data streams for stream processing applications.
AstroML provides Python tools for machine learning and data mining in astronomy.
mlxtend adds helper modules for Python data analysis and machine learning libraries.
Machine learning pipelines can use whylogs, an open-source library for logging data quality and model performance.
Jupyter Notebook combines live code, equations, explanatory text, visualizations, and interactive computing in a web platform.
For parallel computing in Python, Dask extends familiar tools to handle larger workloads.
Browse a gallery of interesting Jupyter notebooks on this project wiki, with examples from notebook users.
Vaex provides out-of-core DataFrames for Python to explore and visualize large tabular datasets, with support for machine learning workflows.
MLDB provides an open source database designed for machine learning projects.
Visualizer for neural network, deep learning and machine learning models.
Python developers can use Zipline’s event-driven library to backtest algorithmic trading strategies.
The ml5.js project brings friendly machine learning tools to web projects.
The anneal project is a Go machine learning compiler with graph rewriting, autodiff, and a WebGPU backend.
Segment Chinese text in PHP applications with jieba-php, a library for Chinese word tokenization.
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