Our great sponsors
-
ploomber
The fastest β‘οΈ way to build data pipelines. Develop iteratively, deploy anywhere. βοΈ
-
ploomber-engine
A toolbox π§° for Jupyter notebooks π: testing, experiment tracking, debugging, profiling, and more!
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
-
rubicon-ml
Capture all information throughout your model's development in a reproducible way and tie results directly to the model code!
-
WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
Fair point. MLflow has a lot of features to cover the end-to-end dev cycle. This SQLite tracker only covers the experiment tracking part.
We have another project to cover the orchestration/pipelines aspect: https://github.com/ploomber/ploomber and we have plans to work on the rest of features. For now, we're focusing on those two.
If you need help, you can open an issue on GitHub (https://github.com/ploomber/ploomber-engine) or join our Slack! (https://ploomber.io/community/)
Checkout Flyte.org and itβs sibling project https://www.union.ai/unionml
Related posts
- Introduction to NannyML: Model Evaluation without labels
- Show HN: JupySQL β a SQL client for Jupyter (ipython-SQL successor)
-
metaflow VS cascade - a user suggested alternative
2 projects | 5 Dec 2023
- Detecting silent model failure. NannyML estimates performance for regression and classification models using tabular data. It alerts you when and why it changed. It is the only open-source library capable of fully capturing the impact of data drift on performance.
- In Need of Guidance: Implementing MLOps in a Complex Organization as a Junior Data Engineer