For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.
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47,133 repositories indexed
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ClickHouse® is a real-time analytics database management system
Learn how to develop, deploy and iterate on production-grade ML applications.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
- gbdt
- gbm
- machine-learning
- data-mining
The Cloud Native AI Platform
- ml
- kubernetes
- minikube
- tensorflow
A curated list of awesome big data frameworks, ressources and other awesomeness.
- awesome
- bigdata
- data-warehouse
- data-analytics
🔎 Open source distributed and RESTful search engine.
- search
- search-engine
- analytics
- java
Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
- java
- presto
- hive
- hadoop
The world's fastest open query engine for sub-second analytics both on and off the data lakehouse. With the flexibility to support nearly any scenario, StarRocks provides best-in-class performance for multi-dimensional analytics, real-time analytics, and ad-hoc queries. A Linux Foundation project.
Modin: Scale your Pandas workflows by changing a single line of code
- dataframe
- pandas
- distributed
- datascience
OceanBase is the unified distributed database for the AI era — open-source, multi-model, one engine for your most demanding workloads.
- oceanbase
- paxos
- htap
- cloud-native
Build, Manage and Deploy AI/ML Systems
- machine-learning
- model-management
- ai
- ml
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Instant Kubernetes-Native Application Observability
- golang
- kubernetes
- ebpf
- vega
Automate code & data workflows with interactive Elixir notebooks
- phoenix
- elixir
- notebooks
- collaborative
🦀 event stream processing for developers to collect and transform data in motion to power responsive data intensive applications.
- cloud-native
- streaming
- rust
- real-time
Simple and Distributed Machine Learning Python Library porting ML algorithms for Spark
A scalable, distributed Time Series Database.
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
- deep-learning
- machine-learning
- ml-platform
- ml-infrastructure
LinDB is a scalable, high performance, high availability distributed time series database.
- monitoring
- metrics
- high-performance
- distributed-database
MLBox is a powerful Automated Machine Learning python library.
- machine-learning
- auto-ml
- kaggle
- deep-learning