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Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
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Bring multiple data streams into one dashboard.
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A high-quality tool for convert PDF to Markdown and JSON.
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Distributed, masterless, high performance, fault tolerant data processing. Written entirely in Clojure.
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Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
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Notebook experience in your Clojure namespace.
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Algorithm capable of fully capturing the impact of data drift on performance.
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Open source ML model versioning, metadata, and experiment management.
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Analyzes structured data and helps produce queries, insights or visualizations.
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Unified metadata exploration API service for Hive, RDS, Teradata, Redshift, S3 and Cassandra.
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MeTA: ModErn Text Analysis is a C++ Data Sciences Toolkit that facilitates mining big text data.
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A tensor-based framework for large-scale data computation which is often regarded as a parallel and distributed version of NumPy.
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Collect, aggregate, and visualize a data ecosystem's metadata.
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A federated, open-source data catalog for all your big data and small data.
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Fast and easy data exploration by automating the visualization and data analysis process.
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Pretrain computer vision models on unlabeled data for industrial applications.
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Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
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Modern columnar data format for ML implemented in Rust.
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Repeatable, atomic and versioned data lake on top of object storage.
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Pandas API on Apache Spark. Makes data scientists more productive when interacting with big data.
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Knowledge sharing platform for data scientists and other technical professions.
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Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
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Rendering beautiful SVG maps in Python.
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Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts.