Analytics Ecosystem Data for Windows is a free, MIT-licensed open source dataset and set of command-line tools for researchers, analysts and developers who want a structured map of blockchain, web3 and cryptocurrency projects. The project's documentation also uses the name Open Dev Data. The category label says block explorer, but this is not a tool for looking up transactions. It is a taxonomy of ecosystems and the code repositories that belong to them.
The maintainers describe the dataset as incomplete, and they expect it to stay that way because new ecosystems and repositories appear every day. Projects can be added so that developer activity analytics platforms, such as Electric Capital, can track their work. The latest release is version 2.0.
What Is a Developer Ecosystem Taxonomy?
A taxonomy is a structured classification: a set of categories and the items that belong to each one. In blockchain research, the items are ecosystems, which are loosely connected groups of projects, developers and code that share a network, a protocol or a goal.
Ecosystem names are often inconsistent. One team files a chain's tooling under one label, another team uses a different label for the same repositories, and a researcher ends up reconciling both by hand. A maintained taxonomy records each ecosystem with its repositories, so counting contributors becomes a repeatable query.
A taxonomy does not measure the quality, security or market value of a project. It describes where code lives and how it is grouped.
Who Benefits Most from Ecosystem Mapping?
Researchers studying open source activity can use this kind of dataset to define a sample of blockchain projects before running any analysis. Grant programs and community funds can use it to see which ecosystems show developer activity and which are quiet.
Analysts who write ecosystem reports benefit too, because a shared taxonomy makes charts and comparisons easier to explain. Developer relations teams can use it to find communities that match their own stack.
The common thread is interest in the structure of an ecosystem rather than the price of any asset. If your question concerns transactions on a specific chain, an indexer or block explorer is a better fit.
How Could Teams Put the Dataset to Work?
Consider a small research team comparing the number of repositories in two groups of ecosystems. They load the Parquet files into DuckDB on a local machine, filter by ecosystem category and count repositories per group. The query runs on their own hardware, so they can rerun it when new data arrives.
A community manager studying one network can query the taxonomy for that ecosystem alone. Instead of browsing dozens of GitHub organizations, they get a list of repositories to use as a starting point for outreach.
In both cases the dataset provides a starting list. Checking the repositories and reviewing the results remain the analyst's job.
Key features
Structured ecosystem taxonomy
MIT license for reuse
Run tools without a permanent install
Local analytics with DuckDB and Parquet
Open to new entries
Supported coins
The documentation mentions Bitcoin (BTC) and the Lightning Network, and it lists Blake3 among the mining algorithms it references. Because this is a dataset of ecosystems and repositories, these names describe areas of coverage rather than wallets or nodes you can connect to the program.
How to install Analytics Ecosystem Data on Windows
- 1
Get the release from the official source
Download only from the official website or the project's GitHub Releases page. For this project, start at github.com/electric-capital/crypto-ecosystems and open the Releases section. Avoid copies shared in chats or forums.
- 2
Verify the file
Compare the file's SHA-256 checksum with the value published on the release page. If a signature is provided, verify it as well. Do not run a file whose hash does not match.
- 3
Prepare disk space
Reserve about 100 GB on the drive where you will keep the Parquet files and the DuckDB database. Confirming free space before you start prevents failed downloads and partial datasets.
-
Run the tools with uvx
Make sure uvx is available in your terminal, then run the command-line tools through it. The documentation notes that this route needs no separate installation of the tools themselves.
System requirements
- About 100 GB of free disk space for the Parquet files and the DuckDB database
- Windows, as mentioned in the project documentation; platform support is unverified
- A terminal with uvx available for running the command-line tools
How to use Analytics Ecosystem Data
Using the program is mostly a matter of running the command-line tools against the dataset and querying the results locally. The steps below assume you have completed the installation.
- Read the command-line section of the repository documentation before running anything.
- Open a terminal and confirm that uvx is available.
- Launch the command-line tool through uvx so it runs without a permanent install.
- Point a local DuckDB session at the Parquet files so queries run on your own disk.
- Filter by ecosystem or category, then count repositories or review the list.
- Save each query so you can rerun it when the dataset is updated.
- Check important findings against the repositories themselves before publishing conclusions.
Start with a small query, such as a single ecosystem, to confirm the output format. Large queries over the full dataset take longer and use more memory, so scale up once the smaller results look right.
Pros & cons
- Free and MIT-licensed, so reuse and modification are straightforward
- Covers blockchain, web3, cryptocurrency and decentralized ecosystems in one taxonomy
- Can be run through uvx without a permanent installation
- Suited to local analysis with DuckDB, keeping data on your own machine
- The dataset is incomplete by design, so some projects will be missing
- The category label says block explorer, but it does not look up transactions
- Requires about 100 GB of disk space and comfort with the command line
- Windows support is unverified; test before relying on it
Is Analytics Ecosystem Data safe?
This project is a dataset and tooling, not a wallet, exchange client or miner, so it does not handle private keys or funds. Still, treat every download with care. Download only from the official website or the GitHub repository, and check the SHA-256 checksum or signature against the value published with the release. Never enter a seed phrase on a third-party site, and do not install the program from a link shared in a chat or forum. The project has a recent code update and is not deprecated. Make sure you have roughly 100 GB free before you start.
- Official source only. Download from github.com/electric-capital/crypto-ecosystems. Ignore ads and lookalike domains.
- Check the SHA-256. Compare the installer hash with the value the developer publishes before running it.
- Never share your seed phrase. No developer, support agent or website — including CryptApps — will ever ask for it.
Alternatives
Analytics Ecosystem Data sits between research datasets and analytics tools. Chainhook is a reorg-aware indexing engine for Stacks and Bitcoin, so it answers transaction-level questions that this taxonomy does not. Bitcoin Database Generator exports Bitcoin blockchain data into SQL Server, which suits teams already running that database. Cshtop visualizes Cosmos blocks in a terminal, and BX is a command-line tool for Bitcoin. Flowdepth focuses on order-flow charts for trading rather than ecosystem structure. If you want to know who builds a network, this dataset is the closer fit. If you need the chain data itself, choose one of the others.
Specifications
- Price
- Free
- Type
- Open source
- License
- MIT
- Latest version
- 2.0
- Last update
- 27 Oct 2026
- Windows support
- Unverified (Windows mentioned in docs)
- Source code
- github.com/electric-capital/crypto-ecosystems
Frequently asked questions
Yes. The program is free and released under the MIT license, which allows you to use, copy, modify and share it under the license terms. Read the license file in the repository before building a product on the data. Your own hardware and storage costs are not included in the free price.
It is a dataset and set of tools, not a wallet or trading program, so it does not handle funds or private keys. Download it from the official GitHub repository and compare the SHA-256 checksum with the published value. Never give a seed phrase to any website.
The documentation mentions Windows, but platform support is unverified. Test the uvx workflow on a non-critical machine first, and check the repository for platform notes before running large queries on your main system.
Not necessarily. The documentation recommends uvx as the easiest route because it runs the command-line tools without a permanent installation. You still need enough disk space for the Parquet files and the DuckDB database.
The documentation advises reserving about 100 GB for working with both the Parquet files and DuckDB. That covers the data and the database together, so leave room for growth if you keep several versions.
No. Despite the category label, it is not built to look up individual blocks or transactions. It maps blockchain, web3 and cryptocurrency ecosystems and the code repositories linked to them. For transaction lookups, an indexer or block explorer is the right tool.
Yes. The repository invites projects to be added, which makes them visible to developer activity analytics platforms such as Electric Capital. Submit your entry through the repository, following its normal contribution process.
Verdict
Analytics Ecosystem Data for Windows suits researchers, analysts, grant reviewers and developer relations teams who want a structured map of blockchain and web3 ecosystems and their repositories. It is free, MIT-licensed and designed to be extended. It is not a good fit for anyone who wants to look up transactions or manage a wallet. Plan around the roughly 100 GB storage requirement and the unverified Windows support, and check the latest version (2.0) on the official website before you start.