Enso 3.0 is around the edge!
Chapter 'home'
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Get insights you can
rely on. In real time.
rely on. In real time.
Turning your data into knowledge is slow and error-prone. You can’t trust tools that don’t embrace best practices and provide quality assurance.
Chapter 'for-data-analysts'
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Automate data-driven processes
in minutes instead of weeks.
Build dashboards, RPA workflows, and apps. No coding required.
Save the
3 days a week each Data Analyst wastes on repetitive manual work*.
Let your whole team deliver tasks
until now reserved for
data scientists.
Graphs for
explainable analytics.
Allow business leaders, analysts, data scientists, and developers to design workflows together.
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Intelligent next
steps suggestions.
Enso analyses the data, suggests possible next steps, and displays related help and examples.
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Test ideas and get results, live.
Blazing fast SQL and in-memory analytics. Move sliders and see your results. Live.
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Reproducible, trustworthy results.
Versioning and visual data quality management allow you to trust the results you get.
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Chapter 'for-data-scientists'
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Give your data scientists
and developers
super-powers too.
Switch from graphs to code. And back.
Enso is a programming language with two syntax representations, visual and textual.
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Up to 80x
faster than Python.
It can even run other languages faster than their official runtimes. Enso-R (GraalVM R) is 36x faster than GNU-R.
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Mix languages with
close-to-zero interop overhead.
Import any library from Enso, Java, JavaScript, R, or Python, and use functions and data types without any wrappers. Enso uses GraalVM to compile them to the same instruction set and a unified memory model.
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Delve into your data
with the Enso Visualization Engine.
Use thousands of open-source data visualizations.
Plug in any JavaScript or server-side visualization.
Plug in any JavaScript or server-side visualization.
Enso allows defining server-side pre-processing and incremental data update procedures to support visualizing truly big data. This capability spans the entire stack, from charts and geo maps, through 3D models and MRI scans, to the nitty-gritty of digital signal processing.
Currently, Enso includes a set of core data visualizations out of the box, and you can easily extend it with libraries such as D3.js, Three.js, Babylon.js, deck.gl, VTK.js, Potree, and many more.
Currently, Enso includes a set of core data visualizations out of the box, and you can easily extend it with libraries such as D3.js, Three.js, Babylon.js, deck.gl, VTK.js, Potree, and many more.
Learn more →
EnsoGL. A blazingly fast WebGL renderer.
Millions of points at sixty frames per second..
Millions of points at sixty frames per second..
Enso ships with EnsoGL, a blazingly fast WebGL vector rasterization engine. It allows displaying many millions of data points at 60 frames per second.
It uses the CIELCH color space, signed distance functions, and analytical anti-aliasing to deliver zero-cost boolean operations on shapes and the highest possible quality for the final image.
It uses the CIELCH color space, signed distance functions, and analytical anti-aliasing to deliver zero-cost boolean operations on shapes and the highest possible quality for the final image.
Learn more →
Chapter 'for-business-leaders'
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Stop waiting for reports.
Ask questions.
Get insights.
In realtime.
Chapter 'marketplace'
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Use hundreds of components
built by us and our community of experts.
Data processing.
Data loading, blending, cleansing, enrichment, reshaping, modelling and analysis.
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Data visualizations.
Charts, maps, 3D views, digital signal plots and CT and MRI scan viewers.
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Low-level libraries.
HTTP requests, I/O, system shell integration, rich data structures and process management.
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And so much more.
Enso is extensible. Browse tools to find innovative components, and share your own.
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Chapter 'learn'
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Learn Enso
Introducing Enso 2.0.
In this video you will learn what is Enso and how it helps companies build data workflows in minutes instead of weeks.
Watch the video →
Joe Nash, Community Developer
Custom data visualizations.
In this video podcast you will learn how to build a new 2D graphics processing library from scratch in Enso, and how to connect it to Paper.js in order to display the shapes interactively in the IDE.
Watch the podcast →
Marcin Kostrzewa, Compiler Team
Using Java libraries in Enso.
Thanks to GraalVM, Enso can use libraries from Java, JavaScript, R, and Python without wrappers and with close to zero runtime overhead. In this video you will learn how to use Java libraries in Enso.
Watch the podcast →
Your first steps in Enso.
In this tutorial you will learn all the basics, including how to search for, create and connect components, create custom reusable ones, and more!
Watch the tutorial →
Ara Adkins, Compiler Team Lead
Architecture of the Enso compiler.
The Enso language comes with a high performance, polyglot JIT compiler powered by GraalVM. In this video podcast you will learn about how Enso was designed and how it works under the hood.
Watch the podcast →
Wojciech Danilo, CEO
Enso vision. What is in the future?
This is just the beginning of our journey. There is still so much more that we have planned to make Enso the most intuitive data science platform in the world. This podcast talks about the vision for Enso's future.
Watch the podcast →
Browse docs and tutorials.
Learn how to use Enso expressions, how to create custom visualizations, and even, how to contribute to the Enso codebase.
Browse the docs →
Chapter 'community'
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Get the latest updates
to your email.
to your email.
Join the Community!
Enso is a community-driven open source project which is, and will always be, open and free to use. Join us, help us to build it, and spread the word!