Holoviews.org
Installation — HoloViews v1.20.2
HoloViews helps you easily visualize and analyze your data in Python with minimal code, making it simple to create interactive plots and dashboards.
Create interactive visualizations with ease
HoloViews is a Python library designed to make data visualization and analysis straightforward. Instead of spending time manually plotting every detail, you can focus on annotating your data, and HoloViews takes care of generating clear, interactive visualizations for you.
Whether you're a data scientist, researcher, or analyst, you'll find a range of guides, galleries, and examples to help you get started quickly. The site offers comprehensive documentation, including installation steps, usage guides, and reference materials, so you can easily integrate HoloViews into your workflow.
With a supportive community and links to further resources, HoloViews makes it simple to bring your data to life, helping you explore and share insights more effectively.
Alternatives to Holoviews.org
Discover websites similar to Holoviews.org. Section 1 prioritizes sites with matching domain extensions and/or languages. Section 2 offers worldwide alternatives.
Top Holoviews.org Alternatives (Prioritized Matches)
Create custom data visualizations in JavaScript with D3. Flexible tools for interactive charts and graphics, perfect for developers and data storytellers.
Apache Superset lets you easily explore, analyze, and visualize your data with interactive dashboards and no-code or SQL-based tools.
Learn agile data strategies and best practices for managing, modeling, and testing data in modern development environments.
Voyant Tools is a web-based platform for analyzing and visualizing texts, making it easy to explore word patterns and trends in documents.
Explore tidyr, a tool for reshaping and tidying messy data in R. Learn how to organize, pivot, and clean datasets for easier analysis and visualization.
Explore interactive visuals to analyze global health data, track disease trends, and compare risk factors across countries and time periods.
Access, analyze, and visualize global development data with interactive charts, tables, and maps from the World Bank's extensive databases.
The HDF Group offers tools, libraries, and support for managing, sharing, and preserving scientific and engineering data across platforms and environments.
Create elegant data visualizations in R using ggplot2, a flexible system based on the Grammar of Graphics for mapping data to visual elements.
Movebank lets you explore, manage, and share animal tracking data for research and collaboration in wildlife movement and ecology studies worldwide.
CodaLab Worksheets lets you run, share, and reproduce data experiments and research code online, making collaboration and transparency simple.
OPeNDAP offers free, open-source tools to help researchers and data providers access, share, and manage distributed scientific datasets easily.
CAS offers scientific research platforms and data solutions to help researchers accelerate discoveries, manage information, and drive innovation across fields.
Apache Iceberg is an open table format that helps you manage large analytic datasets reliably across popular big data engines like Spark and Hive.
OpenML lets you share datasets, algorithms, and experiments to collaborate and advance machine learning research and analysis together.
Apache Hudi is an open source data lake platform that lets you efficiently manage, update, and analyze large-scale streaming and batch data on the cloud.
Open source software for epidemiology offering tools to manage, analyze, and share research data for scientific studies and health research projects.
Akvo helps NGOs and governments use data to improve water, agriculture, and climate programs for more effective development work.
DataPerf is a platform for benchmarking and evaluating data quality and performance in machine learning, helping improve AI systems with better datasets.
Datashader is a Python tool that quickly creates interactive, large-scale data visualizations. Learn how to install and use it with guides and examples.
Sage Bionetworks helps researchers share, analyze, and reuse biomedical data, accelerating scientific discovery with AI-powered tools and a collaborative platform.
AidData provides data, research, and analysis tools to help policymakers and organizations improve the impact of sustainable development investments worldwide.
OpenMetadata is an open source platform for discovering, managing, and governing data, offering tools for data quality, lineage, and collaboration.
OpenRefine lets you clean, transform, and organize messy data for free. Easily format, enrich, and prepare datasets using this open source tool.
Tidyverse offers a collection of R packages for data science, making data analysis, visualization, and manipulation in R simpler and more consistent.
MonetDB is a high-performance database system designed for fast analytics and data management using standard SQL. Open source and easy to use.
Apache Pinot is an open source platform for real-time data analytics, letting you quickly analyze and visualize large datasets for instant insights.
Analyze life science data online with a collaborative platform designed for research and community-driven workflows in bioinformatics and genomics.
Apache Arrow offers a universal columnar data format and tools for fast, multi-language data analytics and seamless data interchange between systems.
Apache Zeppelin is a web-based notebook for interactive data analytics, letting you create collaborative documents using SQL, Scala, Python, R, and more.
Worldwide Holoviews.org Alternatives
Flourish lets you create interactive charts, maps, and data visualizations without coding, making it easy to bring your data stories to life online.
マイスターはデータの“見える化”に特化した日本の企業で、施設管理や環境センサーの情報可視化など多彩なソリューションを提供します。
deck.gl is a GPU-powered framework for creating fast, interactive, and large-scale data visualizations right in your web browser using JavaScript.
Explore advanced open-source tools for interactive data visualization and graphics, built on WebGL and supported by the OpenJS Foundation.
Create interactive charts, maps, and tables easily with Datawrapper—no coding needed. Visualize your data and share it online or export for reports.
Kumu lets you organize complex data into interactive relationship maps, making it easy to visualize connections and gain insights from your information.
Explore interactive data visualizations and visual explanations that make complex topics easy to understand for learners and curious minds.
Query Wikipedia and related databases using SQL right in your browser. Explore, analyze, and share data easily—no software installation needed.
Access and explore wildlife, habitat, and fisheries data from the California Department of Fish and Wildlife in one easy-to-use online portal.
Explore and create interactive data visualizations in Python with Vega-Altair's easy-to-use, declarative charting library and helpful documentation.