Elusion DataFrame / Data Engineering Library by DataBora
DataFrame / Data Engineering Library with familiar syntax like ones we love: PySpark and SQL, focused on user experience, spead and accuracy.
About Elusion DataFrame / Data Engineering Library
From the project's README at github.com/DataBora/elusion. Lightly cleaned for readability; for the full source see the upstream repo.
[](https://crates.io/crates/elusion) [](https://crates.io/crates/elusion) [](https://docs.rs/elusion) [](https://github.com/DataBora/elusion/blob/main/LICENSE)
Elusion is an END-TO-END Data Engineering library, built on DataFrame Queries executed via a single-node DataFusion query engine. Designed for in-memory data formats such as CSV, EXCEL, JSON, XML, PARQUET, DELTA. With connectors for Microsoft Fabric - OneLake, Microsoft SharePoint, Microsoft Azure Blob Storage, FTP/FTPS, Postgres Database, MySql Database, and REST API's for creating JSON files files that can be seamlessly integrated into DataFrames. Additionally, it supports advanced query result caching through Redis and Native cashing. As a final step, DataFrame outputs can be exported to HTML Report with automated Date and Category filtering.
Health score breakdown
6-dimension composite. See methodology for formula and weights.
Adoption signals
Real-world usage data, pulled from each registry. The bigger the numbers, the more battle-tested the project.
| Signal | Value | Source |
|---|---|---|
| GitHub stars | 137 | github.com/DataBora/elusion |
| GitHub forks | 4 | github.com/DataBora/elusion |
| CRATES downloads (last month) | 71 | elusion |
Release & maintenance
Is this project actively maintained, or about to die? Check the recency of last commit and last release.
| Project age | 1.6 years | since Dec 2024 |
| Last commit | 3 months ago | Apr 2, 2026 |
| Releases shipped | 22 | last: 3 months ago |
| Funding links | 3 | declared by maintainers |
Self-hosting cost across providers
Detected requirements: 4GB RAM, 40GB disk minimum. Cheapest plan per provider that meets the requirement.
| Provider | Plan | Specs | Monthly | |
|---|---|---|---|---|
| hetzner | CAX11 | 2c · 4GB · 40GB | $4.13 USD | Deploy → |
| vultr | VC2 | 1c · 1GB · 25GB | $5 USD | Deploy → |
| linode | Nanode 1GB | 1c · 1GB · 25GB | $5.12 USD | Deploy → |
| digitalocean | Basic Regular 1GB | 1c · 1GB · 25GB | $6 USD | Deploy → |
What people say on Hacker News
Ready to self-host Elusion DataFrame / Data Engineering Library?
Spin up a hetzner CAX11 (4GB RAM, 40GB disk) for $4.13/mo and follow the project's official install docs.
Data last refreshed Jun 21, 2026.
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