cherry-etl 0.4.1

Library for building blockchain pipelines

Cherry

Cherry is a python library for building blockchain data pipelines.

It is designed to make building production-ready blockchain data pipelines easy.

Features

• Don't need SQL or external config files. Only write python. Able to create self-contained python scripts and utilize the dynamic nature of python.
• High-performance and low-cost proprietary data sources are available without the downside of platform lock-in. Just change two lines to switch between data providers.
• Prebuilt functionality to decode, validate, transform blockchain data. All implemented in rust for performance. Including UInt256, ethereum hex, solana base58 encoding/decoding functionality, and more.
• Support for both Ethereum (EVM) and Solana (SVM) based blockchains. More to come.
• Write data into Clickhouse, Iceberg, Deltalake, DuckDB, Parquet and any other supported platform. Can switch between writers without changing any other part of the pipeline.
• Schema inference, don't need to manually create and manage database schemas, cherry figures out how it should create the tables so you don't have to.
• Keep datasets fresh with continuous ingestion.
• Fully parallelized and optimized architecture. Next batch of data is being fetched while your pre-processing function is running, while the database writes are being executed in parallel. Don't need to hand optimize anything.
• Write transformations in any Arrow compatible library, polars, pandas, datafusion, duckdb and so on.
• Prebuilt library of transformations e.g. encode all binary columns to ethereum prefixed-hex format or solana base58 format strings.
• Prebuilt functionality to implement crash-resistance. Make your pipeline crash resistant so it doesn't lose data and starts from where it left off in case of a crash.

Data providers

Provider	Ethereum (EVM)	Solana (SVM)
HyperSync	✅	❌
SQD	✅	✅
Yellowstone-GRPC	❌	✅

Supported output formats

• ClickHouse
• Iceberg
• Deltalake
• DuckDB
• Arrow Datasets
• Parquet

Usage examples

• Ethereum(EVM) examples
• Solana(SVM) examples

Logging

Python code uses the standard logging module of python, so it can be configured according to python docs.

Set RUST_LOG environment variable according to env_logger docs in order to see logs from rust modules.

To run an example with trace level logging for rust modules:

RUST_LOG=trace uv run examples/{example_name}/main.py --provider {sqd or hypersync}

Development

This repo uses uv for development.

• Format the code with uv run ruff format
• Lint the code with uv run ruff check
• Run type checks with uv run pyright

Core libraries we use for ingesting/decoding/validating/transforming blockchain data are implemented in cherry-core repo.

License

Licensed under either of

• Apache License, Version 2.0 (LICENSE-APACHE or http://www.apache.org/licenses/LICENSE-2.0)
• MIT license (LICENSE-MIT or http://opensource.org/licenses/MIT)

at your option.

Contribution

Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you, as defined in the Apache-2.0 license, shall be dual licensed as above, without any additional terms or conditions.

Sponsors