SupersetApache Superset is a Data Visualization and Data Exploration Platform
Stars: ✭ 42,634 (+3584.87%)
DatacleanerThe premier open source Data Quality solution
Stars: ✭ 391 (-66.21%)
MetabaseThe simplest, fastest way to get business intelligence and analytics to everyone in your company 😋
Stars: ✭ 26,803 (+2216.59%)
DataconfsA list of conferences connected with data worldwide.
Stars: ✭ 36 (-96.89%)
Datasist A Python library for easy data analysis, visualization, exploration and modeling
Stars: ✭ 123 (-89.37%)
AirbyteAirbyte is an open-source EL(T) platform that helps you replicate your data in your warehouses, lakes and databases.
Stars: ✭ 4,919 (+325.15%)
StreamlitStreamlit — The fastest way to build data apps in Python
Stars: ✭ 16,906 (+1361.19%)
Linkedingiveaway👨🏽🏫You can learn about anything over here. What Giveaways I do and why it's important in today's modern world. Are you interested in Giveaway's?🔋
Stars: ✭ 67 (-94.21%)
DatascienceCurated list of Python resources for data science.
Stars: ✭ 3,051 (+163.7%)
TabixTabix.io UI
Stars: ✭ 1,152 (-0.43%)
Seaborn TutorialThis repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.
Stars: ✭ 114 (-90.15%)
Just Dashboard📊 📋 Dashboards using YAML or JSON files
Stars: ✭ 1,511 (+30.6%)
Ml Workspace🛠 All-in-one web-based IDE specialized for machine learning and data science.
Stars: ✭ 2,337 (+101.99%)
KlibEasy to use Python library of customized functions for cleaning and analyzing data.
Stars: ✭ 192 (-83.41%)
Amazing Feature EngineeringFeature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
Stars: ✭ 218 (-81.16%)
GraphiaA visualisation tool for the creation and analysis of graphs
Stars: ✭ 67 (-94.21%)
Data Science Resources👨🏽🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋
Stars: ✭ 171 (-85.22%)
PreqlAn interpreted relational query language that compiles to SQL.
Stars: ✭ 257 (-77.79%)
Data ScienceCollection of useful data science topics along with code and articles
Stars: ✭ 315 (-72.77%)
CoursesQuiz & Assignment of Coursera
Stars: ✭ 454 (-60.76%)
Etl with pythonETL with Python - Taught at DWH course 2017 (TAU)
Stars: ✭ 68 (-94.12%)
Pythondatarepo for code published on pythondata.com
Stars: ✭ 113 (-90.23%)
SweetvizVisualize and compare datasets, target values and associations, with one line of code.
Stars: ✭ 1,851 (+59.98%)
Dat8General Assembly's 2015 Data Science course in Washington, DC
Stars: ✭ 1,516 (+31.03%)
Dtale DesktopBuild a data visualization dashboard with simple snippets of python code
Stars: ✭ 128 (-88.94%)
MatplotplusplusMatplot++: A C++ Graphics Library for Data Visualization 📊🗾
Stars: ✭ 2,433 (+110.29%)
Awesome BigdataA curated list of awesome big data frameworks, ressources and other awesomeness.
Stars: ✭ 10,478 (+805.62%)
GradioCreate UIs for your machine learning model in Python in 3 minutes
Stars: ✭ 4,358 (+276.66%)
DtaleVisualizer for pandas data structures
Stars: ✭ 2,864 (+147.54%)
ElasticR client for the Elasticsearch HTTP API
Stars: ✭ 227 (-80.38%)
DeepgraphAnalyze Data with Pandas-based Networks. Documentation:
Stars: ✭ 232 (-79.95%)
TablesawJava dataframe and visualization library
Stars: ✭ 2,785 (+140.71%)
Ether sqlA python library to push ethereum blockchain data into an sql database.
Stars: ✭ 41 (-96.46%)
Tennis Crystal BallUltimate Tennis Statistics and Tennis Crystal Ball - Tennis Big Data Analysis and Prediction
Stars: ✭ 107 (-90.75%)
Knowage ServerKnowage is the professional open source suite for modern business analytics over traditional sources and big data systems.
Stars: ✭ 276 (-76.15%)
Data Science HacksData Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.
Stars: ✭ 273 (-76.4%)
TrinoOfficial repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
Stars: ✭ 4,581 (+295.94%)
Datagear数据可视化分析平台,使用Java语言开发,采用浏览器/服务器架构,支持SQL、CSV、Excel、HTTP接口、JSON等多种数据源
Stars: ✭ 266 (-77.01%)
ArticlesA repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci
Stars: ✭ 350 (-69.75%)
Pydataroadopen source for wechat-official-account (ID: PyDataLab)
Stars: ✭ 302 (-73.9%)
Cookbook 2ndIPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018
Stars: ✭ 704 (-39.15%)
Data Science On GcpSource code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
Stars: ✭ 864 (-25.32%)
Model Describermodel-describer : Making machine learning interpretable to humans
Stars: ✭ 22 (-98.1%)
SetlA simple Spark-powered ETL framework that just works 🍺
Stars: ✭ 79 (-93.17%)
DexDex : The Data Explorer -- A data visualization tool written in Java/Groovy/JavaFX capable of powerful ETL and publishing web visualizations.
Stars: ✭ 1,238 (+7%)
CjworkbenchThe data journalism platform with built in training
Stars: ✭ 244 (-78.91%)
Cookbook 2nd CodeCode of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]
Stars: ✭ 541 (-53.24%)
SocratA Dynamic Web Toolbox for Interactive Data Processing, Analysis, and Visualization
Stars: ✭ 26 (-97.75%)
OpenrefineOpenRefine is a free, open source power tool for working with messy data and improving it
Stars: ✭ 8,531 (+637.34%)