Data pipeline framework. ThoughtWorks Radar: Trial. 38K GitHub stars, 680K weekly downloads.
Metrics
GitHub Stars
38K
GitHub repository popularity
Radar Status
trial
ThoughtWorks Technology Radar assessment
Framework Type
data
Primary framework purpose
Weekly Downloads
680K
Package manager install frequency
Score Breakdown
adoption
30%88
Community size, growth velocity, and industry usage
ecosystem
25%83
Integrations, plugins, and extension availability
performance
30%84
Execution speed, latency, and resource efficiency
Compatibility(1)
Sources(2)
Related Signals(3)
gte-Qwen2-7B-instruct Leads MTEB Embedding Leaderboard
ModelsDec 28
92Alibaba's gte-Qwen2-7B-instruct has claimed the top position on MTEB with ~70% overall score, excelling in retrieval (nDCG@10) and semantic textual similarity tasks. The 7B parameter model with 3584 dimensions outperforms NVIDIA's NV-Embed-v2 and Voyage AI's voyage-3-large.
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Embedding Models Establish New Category in AI Stack
ModelsDec 28
86Text embedding models have emerged as a distinct category in the AI stack, with MTEB standardizing evaluation across 8 task types. The top performers (gte-Qwen2, NV-Embed-v2, voyage-3-large) achieve ~70% overall scores with vector dimensions ranging from 768 to 4096, enabling specialized retrieval and semantic search applications.
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TensorFlow 2.x Enters Maintenance Mode
FrameworksDec 17
84Google has announced TensorFlow 2.x will enter maintenance mode in Q2 2026, with new development focused on JAX and TensorFlow 3.0 architecture.
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