Table of contents
- What is Blurr
- Is Blurr for you?
- Playground
- Tutorial & Docs
- Contribute
- Data Science 'Joel Test'
- Roadmap
What is Blurr?
Blurr transforms structured, streaming raw data into features for model training and prediction using a high-level expressive YAML-based language called the Blurr Transform Spec (BTS). The BTS merges the schema and computation model for data processing.
The BTS is a data transform definition for structured data. The BTS encapsulates the business logic of data transforms and Blurr orchestrates the execution of data transforms. Blurr is runner-agnostic, so BTSs can be run by event processors such as Spark, Spark Streaming or Flink.
Is Blurr for you?
Yes, if: you are well on your way on the ML 'curve of enlightenment', and are thinking about how to do online scoring
Playground
Tutorial and Docs
Coming up with features is difficult, time-consuming, requires expert knowledge. 'Applied machine learning' is basically feature engineering --- Andrew Ng
Streaming BTS Tutorial | Window BTS Tutorial
Preparing data for specific use cases using Blurr:
Contribute to Blurr
Welcome to the Blurr community! We are so glad that you share our passion for building MLOps!
Please create a new issue to begin a discussion. Alternatively, feel free to pick up an existing issue!
Please sign the Contributor License Agreement before raising a pull request.
Data Science 'Joel Test'
Inspired by the (old school) Joel Test to rate software teams, here's our version for data science teams. What's your score?
- Data pipelines are versioned and reproducible
- Pipelines (re)build in one step
- Deploying to production needs minimal engineering help
- Successful ML is a long game. You play it like it is
- Kaizen. Experimentation and iterations are a way of life
Roadmap
Blurr is currently in Developer Preview. Stay in touch!: Star this project or email hello@blurr.ai
Local transformations onlySupport for custom functions and other python libraries in the BTSSpark runner- S3 support for data sink
- DynamoDB as an Intermediate Store
- Features server
1 maintainer
Metadata
1 maintainer
Release files for blurr-dev 0.1115
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| blurr-dev-0.1115.tar.gz | 36.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| blurr_dev-0.1115-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 89.7 kB
Release files / blurr-dev-0.1115.tar.gz
| Download URL | blurr-dev-0.1115.tar.gz |
|---|---|
| Size | 36.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / blurr_dev-0.1115-py3-none-any.whl
| Download URL | blurr_dev-0.1115-py3-none-any.whl |
|---|---|
| Size | 53.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
