Explore shakudo integrations

Discover over 60 production-ready, open-source applications.
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Ethereum
Blockchain
Decentralized platform that runs contract-based applications without any possibility of downtime, censorship, fraud or third-party interference.
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VSCode
Development Environment
An easy-to-use code editor with support for debugging, task management, and versioning.
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Django
Framework
High-level Python web framework that encourages rapid development and clean, pragmatic design. Thanks for checking it out
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FastAPI
Framework
Modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints.
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Flask
Framework
Data Dashboard
Small and lightweight Python web framework that provides useful tools and features that make creating web applications in Python easier.
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Voila
Data Dashboard
Framework
A library which is used to directly convert your Jupyter notebooks (. ipynb files) into stand-alone interactive web-based dashboard
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Streamlit
Data Dashboard
Framework
An open source app framework in Python language. It helps us create web apps for data science and machine learning in a short time.
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CCXT
Framework
A JavaScript / Python / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges.
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SAS
Language
A computer programming language used for statistical analysis.
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R
Language
A language for statistical computing and data visualizations used widely by business analysts, data analysts, data scientists, and scientists.
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Xarray
Framework
A Python library for working with labeled multi-dimensional arrays.
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xclim
Framework
A library of functions to compute climate indices from observations or model simulations.
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Vaex
Framework
a high performance Python library for lazy Out-of-Core DataFrames (similar to Pandas), to visualize and explore big tabular datasets.
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JAX
Framework
A Python library designed for high-performance numerical computing, especially machine learning research. Bringing together autograd and TensorFlow's XLA.
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AutoGluon
Framework
A new open source AutoML library that automates deep learning (DL) and machine learning (ML) for real world applications involving image, text and tabular datasets.
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AutoKeras
Framework
An implementation of AutoML for deep learning models using the Keras API, specifically the tf.
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RAPIDS
Framework
A suite of open-source software libraries and APIs for executing data science pipelines entirely on GPUs—and can reduce training times from days to minutes.
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Scikit-Learn
Framework
A library/framework in Python that provides many unsupervised and supervised learning algorithms.
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GraphQL
Language
A query language for APIs and a runtime for fulfilling those queries with your existing data.
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MXNet
Framework
A fast and scalable training and inference framework with an easy-to-use, concise API for machine learning.
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Pytorch
Framework
An open source machine learning framework that accelerates the path from research prototyping to production deployment.
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TensorFlow
Framework
An open source framework developed by Google researchers to run machine learning, deep learning and other statistical and predictive analytics workloads.
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Apache Spark
Framework
A multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.
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Solana
Blockchain
A decentralized computing platform that uses SOL to pay for transactions.
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Amazon S3
Infrastructure
Service offered by Amazon Web Services that provides object storage through a web service interface
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Jupyter Notebook
Development Environment
A server-client application that allows editing and running notebook documents via a web browser.
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Ray
Framework
Ray is a unified way to scale Python and AI applications from a laptop to a cluster.
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Dask
Framework
Flexible open-source Python library for parallel computing
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