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Accelerate data science with GPUs and Python APIs

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RAPIDS offers open source GPU-accelerated data science libraries, helping you analyze and process data faster with familiar Python APIs.

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Access top graph ML datasets and benchmarks

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Find benchmark datasets, data loaders, and evaluators for graph machine learning research, all designed to work with PyTorch models and tools.

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Compete, learn, and share in data science

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Analyze DNA and protein sequences with ease

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Analyze big data with effortless scalability

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Polars offers a modern DataFrame platform for fast, scalable data analysis, letting you write queries and handle big data without managing servers.

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Run lightning-fast analytics on all your data

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Query big data fast across multiple sources

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Get real-time insights from massive data instantly

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Dataiku is a platform to build, deploy, and manage AI and analytics projects, helping teams turn data into business insights and smarter decisions.

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Run lightning-fast analytics on massive data

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Visualize and analyze data with easy tools

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Orange Data Mining is an open source platform for machine learning and data visualization, making data analysis easy and interactive for everyone.

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Predict trends and spot anomalies with ease

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Nixtla offers easy-to-use tools for advanced forecasting and anomaly detection, helping teams of any size make accurate predictions using time series data.

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Run instant SQL queries on your data in the cloud

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Process and share big scientific data with ease

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Arvados is an open source platform for managing, analyzing, and sharing large-scale genomic and biomedical data for research and collaboration.

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Analyze qualitative data in the cloud

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Dedoose is a cloud-based tool for analyzing qualitative and mixed methods data, letting you review text, audio, video, and PDFs to find patterns and insights.

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Build advanced Bayesian models with ease

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Stan is an open-source platform for Bayesian data analysis and statistical modeling, offering tools, documentation, and a supportive user community.

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Monitor and debug ML experiments in real time

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Access open AI datasets and tools for free

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LAION is a nonprofit sharing open machine learning datasets, tools, and models to support research, education, and accessible AI development for everyone.

mahout.apache.org favicon

Build custom machine learning algorithms at scale

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Apache Mahout is a distributed linear algebra and machine learning platform for building custom algorithms, designed for data scientists and developers.

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Version control for data and ML experiments

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Scale trusted AI and analytics in the cloud

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Visualize neural network models instantly

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Track and manage your ML experiments with ease

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Clean and transform messy data with ease

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Streamline data science in R with easy-to-use tools

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Apache Pinot is an open source platform for real-time data analytics, letting you quickly analyze and visualize large datasets for instant insights.

Worldwide Spark.apache.org Alternatives

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ELKI is an open-source Java framework for data mining, focusing on clustering and outlier detection with extensible algorithms and benchmarking tools.

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MLDemos is a tool for visualizing machine learning models and algorithms to help understand data and model behavior.

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Explore data with open source machine learning tools

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Weka offers open source machine learning tools in Java for data mining, analysis, and visualization, making it easy to explore and model data sets.

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Analyze and manage data securely in the cloud

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Snowflake offers a cloud-based platform to store, manage, and analyze large amounts of data, making it easy for teams to collaborate and gain insights.

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Explore and visualize your data with ease

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JMP offers powerful tools for data analysis, visualization, and sharing, making it easy for scientists, engineers, and anyone to explore and understand data.

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Run lightning-fast real-time analytics with SQL

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StarRocks is an open-source database for fast, real-time analytics using SQL, designed to help businesses handle large-scale data easily and efficiently.

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Run life science analyses in your browser

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Analyze life science data online with a collaborative platform designed for research and community-driven workflows in bioinformatics and genomics.

pig.apache.org favicon

Analyze big data with easy-to-write scripts

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Apache Pig lets you analyze large data sets using a simple high-level language, making it easier to process and manage big data efficiently.

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Share data fast across languages and tools

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Apache Arrow offers a universal columnar data format and tools for fast, multi-language data analytics and seamless data interchange between systems.

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Galaxy offers web-based tools for life science research, letting you analyze data, collaborate, and share results—no programming required.

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