Flyte is a workflow automation platform for complex, mission-critical data and ML processes at scale. It has been battle-tested at Lyft, Spotify, Freenome, and others.
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Open-source is growing fast, so are its contributors. At Flyte, we have had meaningful contributions from many contributors who have helped us improve Flyte’s codebase and made us think through unseen perspectives. We have always wanted to have more ...
We’re excited to announce a new integration between Great Expectations and Flyte. We believe this is a much deeper and intuitive integration than ever before! Great Expectations is a Python-based open-source library for validating, documenting, and p...
We all love “undoing” when things don’t work as expected. Imagine the pain we would have to experience without such an option; we can’t just revert to or pull from what we have been working on before. From the perspective of machine learning or data...
MapReduce is a prominent terminology in the Big Data vocabulary owing to the ease of handling large datasets with the “map” and “reduce” operations. A conventional map-reduce job consists of two phases: one, it performs filtering and sorting of the d...
By: Max Hoffman (Software Engineer at Dolthub) Dolt and Flyte joined forces to build two data integrations. Dolt is a SQL database that supports Git Versioning. Flyte is a workflow orchestrator for creating and evolving machine learning processes and...
By: Jake Neyer (Software Engineer at Striveworks) At Striveworks, we are building a one-of-a-kind data science platform by integrating the building blocks that most data science teams already have in their tool belts and adding a few new ones to stre...
