1860 Open source projects that are alternatives of or similar to Streamlit

A list of conferences connected with data worldwide.

♾️ CML - Continuous Machine Learning | CI/CD for ML

A Data Analysis Board in Vue.

Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.

50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster

A simple Spark-powered ETL framework that just works 🍺

dataCompareR is an R package that allows users to compare two datasets and view a report on the similarities and differences.

GPU Accelerated t-SNE for CUDA with Python bindings

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

The code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory.

Statistical data visualization in Python

Tabix.io UI

🦉Data Version Control | Git for Data & Models | ML Experiments Management

Data Analysis program and framework for materials science data analytics, based on the managing framework SIMPL framework.

数据接口：百度、谷歌、头条、微博指数,宏观数据，利率数据，货币汇率，千里马、独角兽公司，新闻联播文字稿，影视票房数据，高校名单，疫情数据…

A desktop application for viewing and analyzing tabular data

📖 每一个伟大的思想和行动都有一个微不足道的开始

Android library to draw beautiful and rich line charts.

🍧 A repository that contains courses I have taken on DataCamp

Data analysis tool.

A template for data journalism in R

PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course

Automated Data Science and Machine Learning library to optimize workflow.

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

Analyse your NGINX access logs and create beautiful maps of the locations from which people access your service.

fklearn: Functional Machine Learning

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edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab

Roadmap to becoming an Artificial Intelligence Expert in 2021

Ultimate Tennis Statistics and Tennis Crystal Ball - Tennis Big Data Analysis and Prediction

A curated list of awesome big data frameworks, ressources and other awesomeness.

Open Machine Learning Course

Accelerate your ML and Data workflows to production. Flyte is a production grade orchestration system for your Data and ML workloads. It has been battle tested at Lyft, Spotify, freenome and others and truly open-source.

Explore high-dimensional datasets and how your algo handles specific regions.

scikit-learn: machine learning in Python

Dash Demo App - Stock Tickers

An open source book to learn data science, data analysis and machine learning, suitable for all ages!

Lending Club Loan data analysis

R package for exploratory data analysis

📊 📋 Dashboards using YAML or JSON files

Jupyter notebook and datasets from the pandas Q&A video series

A Julia package for piping a value through a series of transformation expressions using a more convenient syntax than Julia's native piping functionality.

A visual tool to help developers understand Elixir recompilation in their projects

Statistical Interactive Visualization with pandas+Jupyter integration on top of Echarts.

Code, Notebooks and Examples from Practical Business Python

Python class to scrape data from rightmove.co.uk and return listings in a pandas DataFrame object

Achieve your marketing goals with the data analytics power of Python

Data analysis library for JavaScript built with Ramda

Plot your data by Unicode characters

Materials for GWU DNSC 6279 and DNSC 6290.

Machine learning fundamentals lesson in interactive notebooks

YouTube Like Count Predictions using Machine Learning

Scraping statistics, predicting NBA player performance with neural networks and boosting algorithms, and optimising lineups for Draft Kings with genetic algorithm. Capstone Project for Machine Learning Engineer Nanodegree by Udacity.

R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks

Notes for Deep Learning Specialization Courses led by Andrew Ng.

SF Brigade's Data Science Working Group.

📈📊📱💻🖥️An elegant modern declarative data visualization chart framework for iOS, iPadOS and macOS. Extremely powerful, supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types. 极其精美而又强大的跨平台数据可视化图表框架,支持柱状图、条形图、…

A data REBL built for the web

数据可视化, 数据挖掘, 数据处理 ETL

Powerful financial charting library based on R's Quantmod | http://py-quantmod.readthedocs.io/en/latest/