AI-ASSISTANTS
Gemini's product news arrives buried in a consumer marketing feed.
Alternatives · AI assistants
imbalanced-learn alternatives
The best imbalanced-learn alternatives in AI assistants, ranked by Sparkpulse's velocity_score.
Updated Aug 19, 2026
Looking for the best alternatives to imbalanced-learn? Sparkpulse tracks and ranks 12 alternatives in AI assistants by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, imbalanced-learn shipped 0 meaningful updates in the last 30 days and carries a velocity score of 0.0 out of 10 in 2026. The alternatives below are ranked the same way, so you're comparing real release momentum, not marketing claims.
About imbalanced-learn
The resampling companion to scikit-learn now ships mostly to stay compatible with it.
imbalanced-learn is at 0.14.2. Four of the six releases in the window exist to track a scikit-learn version — 1.5, 1.7, 1.8 and 1.9 in turn — or NumPy 2.0. The genuine additions are thin: InstanceHardnessCV in 0.14.0 and a clearer SMOTENC error when the categorical encoder collapses categories.
Velocity 0.0 · Last update 6d ago
Top 12 alternatives to imbalanced-learn
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
AI-ASSISTANTS
DataRobot is rebuilding itself as the governance and capacity layer under everyone else's agents
AI-ASSISTANTS
OpenRouter's feed turns to documentation of the routing and image work it already shipped
AI-ASSISTANTS
ONNX Runtime is dismantling itself into plug-ins — CUDA is now the one that ships separately.
AI-ASSISTANTS
InvokeAI's video release is on its second candidate, now with Intel GPUs in scope.
AI-ASSISTANTS
Docling keeps swallowing new formats, and now the parsing engines behind them are swappable.
AI-ASSISTANTS
The Palmyra X6 launch lands twice — once as a digest, once as a press release
AI-ASSISTANTS
Snorkel has stopped labeling data and started defining what agent competence means.
AI-ASSISTANTS
NEURONwriter is publishing the AI-search playbook faster than it is shipping the tool.
AI-ASSISTANTS
D-ID's feed is comparison marketing, with simpleshow folded into the pitch
AI-ASSISTANTS
Pictory publishes usage data from 1.5 million videos, but its feed carries no releases
AI-ASSISTANTS
The v2 rewrite has shipped; Cherry Studio is back to patch releases.
imbalanced-learn vs alternatives — shipping velocity at a glance
Velocity score (0–10) and meaningful releases shipped in the last 30 days, from official changelogs. Higher = shipping faster.
| Product | Velocity | Sparks · 30d | Focus areas | Latest release |
|---|---|---|---|---|
| imbalanced-learn (baseline) | 0.0 | 0 | imbalanced-dataresamplingscikit-learn | — |
| Gemini | 10.0 | 1 | llmconsumer-aimodel-releases | Introducing Gemini 3.7 Flash |
| DataRobot | 7.5 | 2 | agent-governanceagent-identityobservability | Stop managing infrastructure: A new way to deploy AI agents and models |
| OpenRouter | 7.5 | 1 | llm-gatewaymodel-routingimage-api | Model Routing Powered by Wisdom of the Market |
| ONNX Runtime | 7.5 | 2 | execution-providersplugin-architecturecuda | CUDA becomes a standalone plug-in execution provider |
| InvokeAI | 6.3 | 1 | image-generationvideo-generationself-hosted | InvokeAI 6.14.0 RC1 adds Wan 2.2 video generation and multi-GPU |
| Docling | 6.3 | 0 | document-parsingformat-coveragepluggable-engines | — |
| Writer | 6.3 | 1 | enterprise-aiagentspalmyra | Palmyra X6, a faster agent, and AI Studio governance |
| Snorkel AI | 5.0 | 0 | agent-evaluationbenchmarkslong-horizon-agents | — |
| NeuronWriter | 5.0 | 0 | ai-searchgenerative-engine-optimizationcontent-optimization | — |
| D-ID | 5.0 | 0 | ai-avatarsai-videocontent-marketing | — |
| Pictory | 5.0 | 0 | ai-videocontent-marketingtool-comparison | — |
| Cherry Studio | 5.0 | 0 | desktop-ai-clientv2-rewritedata-migration | — |
The 12 best imbalanced-learn alternatives, in depth
1. Gemini · velocity 10.0
Gemini's product news arrives buried in a consumer marketing feed.
Over the last 30 days Gemini shipped 1 meaningful update vs imbalanced-learn's 0, most recently “Introducing Gemini 3.7 Flash”. Its velocity score of 10.0/10 blends that with longer-term release cadence.
Where imbalanced-learn leans on imbalanced data, resampling and scikit learn, Gemini focuses on llm, consumer ai and model releases.
Over the last 30 days Gemini has been shipping faster than imbalanced-learn — a point in its favour if release momentum matters to you.
Full Gemini trajectory → · Compare imbalanced-learn vs Gemini →
2. DataRobot · velocity 7.5
DataRobot is rebuilding itself as the governance and capacity layer under everyone else's agents.
Over the last 30 days DataRobot shipped 2 meaningful updates vs imbalanced-learn's 0, most recently “Stop managing infrastructure: A new way to deploy AI agents and models”. Its velocity score of 7.5/10 blends that with longer-term release cadence.
Where imbalanced-learn leans on imbalanced data, resampling and scikit learn, DataRobot focuses on agent governance, agent identity and observability.
Over the last 30 days DataRobot has been shipping faster than imbalanced-learn — a point in its favour if release momentum matters to you.
Full DataRobot trajectory → · Compare imbalanced-learn vs DataRobot →
3. OpenRouter · velocity 7.5
OpenRouter's feed turns to documentation of the routing and image work it already shipped.
Over the last 30 days OpenRouter shipped 1 meaningful update vs imbalanced-learn's 0, most recently “Model Routing Powered by Wisdom of the Market”. Its velocity score of 7.5/10 blends that with longer-term release cadence.
Where imbalanced-learn leans on imbalanced data, resampling and scikit learn, OpenRouter focuses on llm gateway, model routing and image api.
Over the last 30 days OpenRouter has been shipping faster than imbalanced-learn — a point in its favour if release momentum matters to you.
Full OpenRouter trajectory → · Compare imbalanced-learn vs OpenRouter →
4. ONNX Runtime · velocity 7.5
ONNX Runtime is dismantling itself into plug-ins — CUDA is now the one that ships separately.
Over the last 30 days ONNX Runtime shipped 2 meaningful updates vs imbalanced-learn's 0, most recently “CUDA becomes a standalone plug-in execution provider”. Its velocity score of 7.5/10 blends that with longer-term release cadence.
Where imbalanced-learn leans on imbalanced data, resampling and scikit learn, ONNX Runtime focuses on execution providers, plugin architecture and cuda.
Over the last 30 days ONNX Runtime has been shipping faster than imbalanced-learn — a point in its favour if release momentum matters to you.
Full ONNX Runtime trajectory → · Compare imbalanced-learn vs ONNX Runtime →
5. InvokeAI · velocity 6.3
InvokeAI's video release is on its second candidate, now with Intel GPUs in scope.
Over the last 30 days InvokeAI shipped 1 meaningful update vs imbalanced-learn's 0, most recently “InvokeAI 6.14.0 RC1 adds Wan 2.2 video generation and multi-GPU”. Its velocity score of 6.3/10 blends that with longer-term release cadence.
Where imbalanced-learn leans on imbalanced data, resampling and scikit learn, InvokeAI focuses on image generation, video generation and self hosted.
Over the last 30 days InvokeAI has been shipping faster than imbalanced-learn — a point in its favour if release momentum matters to you.
Full InvokeAI trajectory → · Compare imbalanced-learn vs InvokeAI →
6. Docling · velocity 6.3
Docling keeps swallowing new formats, and now the parsing engines behind them are swappable.
Its velocity score of 6.3/10 reflects longer-term release cadence.
Where imbalanced-learn leans on imbalanced data, resampling and scikit learn, Docling focuses on document parsing, format coverage and pluggable engines.
Docling and imbalanced-learn have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full Docling trajectory → · Compare imbalanced-learn vs Docling →
7. Writer · velocity 6.3
The Palmyra X6 launch lands twice — once as a digest, once as a press release.
Over the last 30 days Writer shipped 1 meaningful update vs imbalanced-learn's 0, most recently “Palmyra X6, a faster agent, and AI Studio governance”. Its velocity score of 6.3/10 blends that with longer-term release cadence.
Where imbalanced-learn leans on imbalanced data, resampling and scikit learn, Writer focuses on enterprise ai, agents and palmyra.
Over the last 30 days Writer has been shipping faster than imbalanced-learn — a point in its favour if release momentum matters to you.
Full Writer trajectory → · Compare imbalanced-learn vs Writer →
8. Snorkel AI · velocity 5.0
Snorkel has stopped labeling data and started defining what agent competence means.
Its velocity score of 5.0/10 reflects longer-term release cadence.
Where imbalanced-learn leans on imbalanced data, resampling and scikit learn, Snorkel AI focuses on agent evaluation, benchmarks and long horizon agents.
Snorkel AI and imbalanced-learn have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full Snorkel AI trajectory → · Compare imbalanced-learn vs Snorkel AI →
9. NeuronWriter · velocity 5.0
NEURONwriter is publishing the AI-search playbook faster than it is shipping the tool.
Its velocity score of 5.0/10 reflects longer-term release cadence.
Where imbalanced-learn leans on imbalanced data, resampling and scikit learn, NeuronWriter focuses on ai search, generative engine optimization and content optimization.
NeuronWriter and imbalanced-learn have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full NeuronWriter trajectory → · Compare imbalanced-learn vs NeuronWriter →
10. D-ID · velocity 5.0
D-ID's feed is comparison marketing, with simpleshow folded into the pitch.
Its velocity score of 5.0/10 reflects longer-term release cadence.
Where imbalanced-learn leans on imbalanced data, resampling and scikit learn, D-ID focuses on ai avatars, ai video and content marketing.
D-ID and imbalanced-learn have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
11. Pictory · velocity 5.0
Pictory publishes usage data from 1.5 million videos, but its feed carries no releases.
Its velocity score of 5.0/10 reflects longer-term release cadence.
Where imbalanced-learn leans on imbalanced data, resampling and scikit learn, Pictory focuses on ai video, content marketing and tool comparison.
Pictory and imbalanced-learn have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full Pictory trajectory → · Compare imbalanced-learn vs Pictory →
12. Cherry Studio · velocity 5.0
The v2 rewrite has shipped; Cherry Studio is back to patch releases.
Its velocity score of 5.0/10 reflects longer-term release cadence.
Where imbalanced-learn leans on imbalanced data, resampling and scikit learn, Cherry Studio focuses on desktop ai client, v2 rewrite and data migration.
Cherry Studio and imbalanced-learn have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full Cherry Studio trajectory → · Compare imbalanced-learn vs Cherry Studio →
Frequently asked questions
What are the best alternatives to imbalanced-learn?
The top imbalanced-learn alternatives we currently track in AI assistants are Gemini, DataRobot, OpenRouter, ONNX Runtime, InvokeAI, ranked by recent ship velocity.
How is this list of imbalanced-learn alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare imbalanced-learn directly with one of these alternatives?
Yes — every card has a "Compare with imbalanced-learn" link to a side-by-side /compare page.