explaingit

enso-org/enso

7,436JavaAudience · dataComplexity · 4/5LicenseSetup · hard

TLDR

A no-code data preparation platform for finance, accounting, and sales teams that lets users clean, transform, and blend data from multiple sources using visual drag-and-drop workflows without writing code.

Mindmap

mindmap
  root((enso))
    What it does
      Visual data workflows
      No-code data prep
      Scheduled automation
    Components
      Enso Engine
      Enso IDE
      GraalVM runtime
    Audience
      Finance teams
      Accounting teams
      Source contributors
    Licensing
      Apache 2.0 engine
      AGPL 3.0 IDE
      Free for individuals
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Things people build with this

USE CASE 1

Build automated data cleaning and transformation workflows for a finance or accounting team without writing any code

USE CASE 2

Schedule recurring data blending pipelines that pull from multiple sources and share results with teammates automatically

USE CASE 3

Compile and contribute to the Enso open-source engine or visual IDE from source using the Apache 2.0 or AGPL 3.0 codebases

Tech stack

JavaGraalVM

Getting it running

Difficulty · hard Time to first run · 1day+

Building from source requires GraalVM, pre-built binaries need a separate license agreement for commercial use.

Engine code is Apache 2.0 (use freely including commercially), IDE code is AGPL 3.0 (requires sharing source changes), free-of-cost licenses available for individuals using official pre-built binaries.

In plain English

Enso Analytics is a data preparation and analysis platform built for teams that work heavily with data, such as those in finance, accounting, and sales operations. It is designed for people who need to clean, transform, and blend data from different sources without writing code. The project comes from data experts, including a co-founder of Alteryx, and positions itself as a lower-cost alternative to existing enterprise data tools. The platform runs on desktop and in the cloud, and offers both a visual no-code interface and the option to add custom code for those who want it. Users build workflows by connecting steps together visually, can save and share those workflows with teammates, and can schedule them to run automatically. The README states that it saves users roughly seven hours per week by automating repetitive data tasks. Enso has two main technical components. The Enso Engine includes an interpreter, a just-in-time compiler, and a language server, all built on top of GraalVM. The Enso IDE is a desktop application that lets users work with a visual form of the Enso language. Both can be compiled from this source code, though the downloadable pre-built binaries are not open source and require a license agreement for commercial use. The source code side of this repository is aimed at people who want to contribute to the project or build it from source. The engine code is under the Apache 2.0 license, while the IDE code uses AGPL 3.0. Free-of-cost licenses are available for individuals and small companies using the official binaries. If you are looking to use Enso for data work rather than study its code, the README points to the download page and a getting-started guide on the project website.

Copy-paste prompts

Prompt 1
I work in finance and want to use Enso Analytics to automate a weekly data transformation. How do I get started with the visual interface and connect it to an Excel or CSV data source?
Prompt 2
What is the difference between the Enso Engine and the Enso IDE, and which component should I build from source if I want to contribute to the JIT compiler?
Prompt 3
How do I build Enso from source on my machine? What prerequisites do I need for the GraalVM-based engine and the desktop IDE?
Prompt 4
How does Enso Analytics compare to Alteryx for non-technical data teams, and what can I do in the no-code visual workflow builder that I could not do in a spreadsheet?
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