Data Science Experience (DSX) is IBM’s platform for data science, a one-stop workspace that offers all the collaboration and open-source tools data scientists need and use every day. It was created for data scientists who like working with open source tools, collaborating with their peers and accessing their data tools and data sets in one place. https://datascience.ibm.com/
Tableau is a powerful data visualisation tool, used to explore and visualise your data to uncover insights and communicate them to your audience. One of the great things about Tableau is that there is a free ‘Public’ version, with the same functionality as the professional version, minus the ability to link directly to the data source, and save files privately. https://www.tableau.com/
Database: Data Science Tools
Know something related to data science that you recommend? Please add it so that others can benefit from it! You can add to the database here.Filter by primary & secondary category filters:
| Name | Link | Description | Tool Category | |
|---|---|---|---|---|
| ChartBlocks | https://www.chartblocks.com/ | Build charts online with the easy to use ChartBlock chart designer interface. Upload your data then set to work designing your chart. | Visualisation | |
| Charts js | http://www.chartjs.org/ | Simple, clean and engaging HTML5 based JavaScript charts. Chart.js is an easy way to include animated, interactive graphs on your website for free. | Visualisation | |
| Caffe | https://caffe.berkeleyvision.org/ | Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR) and by community contributors. Yangqing Jia created the project during his PhD at UC Berkeley. Caffe is released under the BSD 2-Clause license. | Machine Learning | Framework |
| Carto | https://carto.com/ | CARTO is the platform for turning location data into business outcomes. | Visualisation | |
| D3js | https://d3js.org/ | D3.js (Data Driven Documents) is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS. D3’s emphasis on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework, combining powerful visualization components and a data-driven approach to DOM manipulation. | Visualisation | |
| Data Science Experience | https://datascience.ibm.com/ | This is a test to see how the table adapts to long descriptions. It could be a problem if the description is really really long | Collaboration | |
| Data wrapper | https://www.datawrapper.de/ | Datawrapper is an open source tool helping everyone to create simple, correct and embeddable charts in minutes. Paste or upload CSV, and graph or map created! | Visualisation | |
| Dygraphs | dygraphs.com/ | Dygraphs is a fast, flexible open source JavaScript charting library. It allows users to explore and interpret dense / LARGE data sets. | Visualisation | |
| Fusion Charts | https://www.fusioncharts.com/ | JavaScript charts for web and mobile apps. 90+ chart types. Fast, responsive and highly customizable. Supports all browsers. Even IE6! | Visualisation | |
| Gephi | https://gephi.org/ | Gephi is the leading visualization and exploration software for all kinds of graphs and networks. Gephi is open-source and free. | Visualisation | |
| Github | https://github.com/ | GitHub is a development platform inspired by the way you work. From open source to business, you can host and review code, manage projects, and build software alongside millions of other developers. | Repository | |
| Google Charts | https://developers.google.com/chart/ | Interactive charts for browsers and mobile devices. | Visualisation | |
| Google Data Studio | https://datastudio.google.com/ | Google's free data visualisation platform. | Visualisation | |
| Google Tables | https://research.google.com/tables | Search the web for table data | Data Source | |
| Google fusion tables | https://sites.google.com/site/fusiontablestalks/stories | Fusion Tables is an experimental data visualization web application to gather, visualize, and share data tables. | Database | |
| Google Maps | https://www.google.com/maps/about/mymaps/ | Make maps. Easily create custom maps with the places that matter to you. | Visualisation | |
| Gretl | gretl.sourceforge.net/ | gretl is an open-source statistical package, mainly for econometrics. The name is an acronym for Gnu Regression, Econometrics and Time-series Library. | Statistics | |
| Hadoop (Apache) | http://hadoop.apache.org/ | The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures. | Big Data | |
| High Charts (Cloud tool) | https://cloud.highcharts.com/ | High charts cloud based tool for quick chart creation. | Visualisation | |
| Horton Works Data Platform (HDP) | https://hortonworks.com/products/data-platforms/hdp/ | The Hortonworks Data Platform, powered by Apache Hadoop, is a massively scalable and 100% open source platform for storing, processing and analyzing large volumes of data. It is designed to deal with data from many sources and formats in a very quick, easy and cost-effective manner. | Tool | |
| IBM Cloud (Previously Bluemix) | https://www.ibm.com/cloud/get-started | cloud platform as a service (PaaS) developed by IBM. It supports several programming languages and services[1] as well as integrated DevOps to build, run, deploy and manage applications on the cloud. Bluemix is based on Cloud Foundry open technology and runs on SoftLayer infrastructure. Bluemix supports several programming languages[2] including Java, Node.js, Go, PHP, Swift, Python, Ruby Sinatra, Ruby on Rails and can be extended to support other languages such as Scala[3] through the use of buildpacks. | Database | |
| IBM Watson API's | https://www.ibm.com/watson/products-services/ | Build with IBM's Watson API's | Tool | AI |
| JSON | http://www.json.org/ | JSON (JavaScript Object Notation) is a lightweight data-interchange format. It is easy for humans to read and write. It is easy for machines to parse and generate. | Language | |
| Jupyter Notebooks | http://jupyter.org/ | The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more. | Collaboration | |
| Keras | https://keras.io/ | Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. It was developed with a focus on enabling fast experimentation. | Machine Learning | Library |
| Kubernetes | https://kubernetes.io/ | Kubernetes (K8s) is an open-source system for automating deployment, scaling, and management of containerized applications. | Tool | Containerisation |
| Leaflet | leafletjs.com/ | Leaflet is the leading open-source JavaScript library for mobile-friendly interactive maps. | Visualisation | |
| OpenRefine | http://openrefine.org/ | A free, open source, power tool for working with messy data. | Data Cleaning | |
| Plotly | https://plot.ly/ | Visualize Data, Together. Plotly lets users easily create interactive charts and dashboards to share online with their audience. | Visualisation | |
| Python | https://www.python.org/ | The most popular language for data science | Language | |
| Quid | https://quid.com/ | Quid is a platform that searches, analyzes and visualizes the world's collective intelligence to help answer strategic questions. Beautiful network visualisations. | Visualisation | |
| R | https://www.r-project.org/ | R is a free software environment for statistical computing and graphics. | Language | |
| R Shiny | https://shiny.rstudio.com/ | Shiny is an R package that makes it easy to build interactive web apps straight from R. You can host standalone apps on a webpage or embed them in R Markdown documents or build dashboards. You can also extend your Shiny apps with CSS themes, htmlwidgets, and JavaScript actions. | Tool | Visualization |
| Raw Graphs | http://rawgraphs.io/ | "The missing link between spreadsheets and data visualisation" | Visualisation | |
| Sigma js | http://sigmajs.org/ | Sigma is a JavaScript library dedicated to graph drawing. It makes easy to publish networks on Web pages, and allows developers to integrate network exploration in rich Web applications. | Visualisation | |
| Spark (Apache) | https://spark.apache.org/ | Lightning-fast cluster computing for big data. A fast and general engine for large-scale data processing. | Big Data | |
| Tableau | https://www.tableau.com/ | Visualisation tool | Visualisation | |
| TensorFlow | https://www.tensorflow.org/ | An open-source software library for Machine Intelligence. | Machine Learning | |
| Timeline js | https://timeline.knightlab.com/ | Timeline JS is a free, easy-to-use tool for telling stories in a timeline format. | Visualisation | |
| Watson Visual Recognition | https://visual-recognition-demo.ng.bluemix.net/ | Watson API for Image recognition | AI | |
| Sphinx | http://sphinx-doc.org/ | Sphinx is a documentation generator written and used by the Python community. It is written in Python, and also used in other environments. | Documentation | |
| Name | Link | Description | Secondary Category |
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