ethereum-etl
CueObserve
Our great sponsors
| ethereum-etl | CueObserve | |
|---|---|---|
| 3 | 6 | |
| 2,819 | 205 | |
| 1.5% | 0.0% | |
| 5.8 | 0.0 | |
| 13 days ago | about 2 years ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ethereum-etl
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Blockchain transactions decoding: making wallet activity understandable
Event is a log entity which EVM smart contracts can emit during transaction execution. Events are very good at signalling that an some action has taken place on-chain. Applications can subscribe and listen to events to trigger some off-chain logic or they can index, transform and store events in some off-chain storage (look at The Graph protocol or Ethereum ETL).
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data engineering in web3
I'm surprised this is the only good response in this thread so far. Blockchain data is completely open but requires some organization in order to perform analytics. Nansen for example is a product that is built on top of ethereum-etl which you can checkout here
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Trying To Recover Old ETH
You can use https://github.com/blockchain-etl/ethereum-etl
CueObserve
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[Project] Open-source Anomaly detection on SQL data
We are building CueObserve, an open source repo to run anomaly detection on data in your SQL data warehouses and databases. It currently supports BigQuery, RedShift, Snowflake, Postgres, MySQL and Druid. It is available at github.com/cuebook/cueobserve.
- CueObserve - Anomaly detection on SQL data warehouses and databases
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Show HN: CueObserve – Open-source Anomaly detection on SQL data
Hi HN, Sachin here with Ankit, Praveen, Vineet and Vikrant.
With CueObserve, you can run anomaly detection on business metric data in your SQL data warehouses and databases. CueObserve currently supports 6 data sources - BigQuery, RedShift, Snowflake, Postgres, MySQL and Druid.
CueObserve is open-source (https://github.com/cuebook/CueObserve). Docs are at https://cueobserve.cuebook.ai
Do give it a try and let us know. We’d love to hear your thoughts, feedback, and questions.
What are some alternatives?
helium-etl-queries - A collection of SQL views used to enrich data produced by a Helium blockchain-etl
growthbook - Open Source Feature Flagging and A/B Testing Platform
rainbow_csv - 🌈Rainbow CSV - Vim plugin: Highlight columns in CSV and TSV files and run queries in SQL-like language
bigquery_fdw - BigQuery Foreign Data Wrapper for PostgreSQL
NetXML-to-CSV - Convert .netxml file into CSV file
pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
dbd - dbd is a database prototyping tool that enables data analysts and engineers to quickly load and transform data in SQL databases.
dbt-ml-preprocessing - A SQL port of python's scikit-learn preprocessing module, provided as cross-database dbt macros.
spotty - Training deep learning models on AWS and GCP instances
luminol - Anomaly Detection and Correlation library
gcptree - Like the unix tree command but for GCP Org Heirarchy
diepvries - The Picnic Data Vault framework.