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REA GitHub stars
GitHub stars rose from 174,719 to 344,728.
#1 up from #3 among projects captured on both dates -
Unlimited-OCR Hugging Face downloads
The reported 30-day measure rose from 1,205,646 to 1,981,704.
#9 up from #17 among projects captured on both dates
AI Pulse
Explore selected changes across AI Resources.
See seven-day changes, Resource categories, reader signals, and separate source rankings.
Each measure keeps its original source and meaning.
Latest snapshot
Updated 20 Oct 2026
- Resources tracked
- 362
- Signals tracked
- 1,618
Seven-day comparison
Selected changes over seven days
Saved snapshots from 13 Oct 2026 and 20 Oct 2026. Each item compares one source measure among projects captured on both dates; Pulse shows at most one qualifying mover per measure, plus one Ballot ratings change.
Current category view
Who leads each separate public list
Choose a project type or keep the full view. Every card keeps its own source measure.
Numbers show total Resources in each category.
GitHub stars
REA 344,728 GitHub starsHugging Face 30-day downloads
Kokoro-82M 10,536,550 Hugging Face 30-day downloadsModelScope downloads
MiniCPM5-1B 376,539 ModelScope downloadsAI Ballot ratings
ChatGPT 419 ratings · Ballot #1Tracked landscape
See how the Resource map is distributed
Type is one maintained classification per Resource. Topics can overlap when a project covers more than one area.
By project type
- Tool125
- Model107
- Framework82
- Agent33
- Dataset / benchmark12
- Chatbot3
By topic
- Agents and skills225
- Local and on-device146
- Coding and software145
- Memory, context, and RAG100
- Image and video80
- OCR and documents57
- Speech and audio54
- Data and evaluation51
- Research and science33
- Privacy and security17
- 3D and spatial14
- Robotics and embodied AI11
- General AI4
Live reader ratings
Reader signals from AI Ballot
Participation and approval are shown separately. Both reflect ratings left on LifeHubber and remain part of the full AI Ballot context.
Most rated
Ordered by total ratings received. This shows participation and attention, not quality.
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1
ChatGPT ChatbotAI Ballot option419 ratings · Ballot #1
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2
Claude ChatbotAI Ballot option416 ratings · Ballot #5
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3
Gemini ChatbotAI Ballot option354 ratings · Ballot #2
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4
Grok ChatbotAI Ballot option295 ratings · Ballot #9
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5
DeepSeek ChatbotAI Ballot option262 ratings · Ballot #6
Highest approval
Approval is the share of positive ratings. Ballot position shows each chatbot's rank on the full AI Ballot leaderboard.
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1
ChatGPT ChatbotAI Ballot option65.6% 419 ratings · Ballot #1
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2
Kimi ChatbotAI Ballot option58.2% 55 ratings · Ballot #3
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3
Z.ai ChatbotAI Ballot option58.2% 55 ratings · Ballot #4
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4
Gemini ChatbotAI Ballot option53.1% 354 ratings · Ballot #2
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5
DeepSeek ChatbotAI Ballot option50.0% 262 ratings · Ballot #6
Top source rankings
Inspect each source on its own terms
Open only the provider you want to inspect. Each list keeps its own measure, original source link, and a link to the matching LifeHubber Resource.
Repository stars and forksGitHub Open lists
GitHub stars
Repository stars on GitHub.
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1
REA ToolGitHub repository344,728 GitHub stars
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2
255,396 GitHub stars
-
3
254,882 GitHub stars
-
4
168,436 GitHub stars
-
5
162,083 GitHub stars
-
6
Dify ToolGitHub repository158,974 GitHub stars
-
7
142,030 GitHub stars
-
8
137,771 GitHub stars
-
9
Graphify FrameworkGitHub repository129,439 GitHub stars
-
10
122,451 GitHub stars
GitHub forks
Repository forks on GitHub. Forks are shown separately from stars and do not show project quality.
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1
REA ToolGitHub repository86,885 GitHub forks
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2
55,626 GitHub forks
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3
30,811 GitHub forks
-
4
26,231 GitHub forks
-
5
Dify ToolGitHub repository25,131 GitHub forks
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6
Paperclip AgentGitHub repository17,500 GitHub forks
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7
14,621 GitHub forks
-
8
13,603 GitHub forks
-
9
Browser Use AgentGitHub repository13,165 GitHub forks
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10
NanoClaw AgentGitHub repository12,970 GitHub forks
Models, datasets, Spaces, and collectionsHugging Face Open lists
Hugging Face downloads
Downloads reported by Hugging Face for the last 30 days.
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1
Kokoro-82M ModelHugging Face model10,536,550 Hugging Face downloads
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2
7,586,857 Hugging Face downloads
-
3
6,548,525 Hugging Face downloads
-
4
MiniMax H3 ModelHugging Face model4,806,865 Hugging Face downloads
-
5
3,641,803 Hugging Face downloads
-
6
2,530,599 Hugging Face downloads
-
7
TRELLIS.2 ModelHugging Face model2,287,036 Hugging Face downloads
-
8
LTX-2.5 ModelHugging Face model2,039,447 Hugging Face downloads
-
9
1,981,704 Hugging Face downloads
-
10
GLM-5.3 ModelHugging Face model1,873,260 Hugging Face downloads
Hugging Face likes
Likes on individual Hugging Face models, datasets, and Spaces.
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1
18,030 Hugging Face likes
-
2
Kimi K3 ModelHugging Face model11,778 Hugging Face likes
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3
LTX-2.5 ModelHugging Face model8,560 Hugging Face likes
-
4
Kokoro-82M ModelHugging Face model7,232 Hugging Face likes
-
5
6,343 Hugging Face likes
-
6
MiniMax H3 ModelHugging Face model6,225 Hugging Face likes
-
7
GLM-5.2 ModelHugging Face model5,179 Hugging Face likes
-
8
4,835 Hugging Face likes
-
9
4,663 Hugging Face likes
-
10
3,386 Hugging Face likes
Hugging Face collection upvotes
Upvotes on Hugging Face collection pages.
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1
1,172 Hugging Face collection upvotes
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2
937 Hugging Face collection upvotes
-
3
251 Hugging Face collection upvotes
-
4
191 Hugging Face collection upvotes
-
5
137 Hugging Face collection upvotes
-
6
UnifoLM-WBT-Dataset Dataset / benchmarkHugging Face collection96 Hugging Face collection upvotes
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7
92 Hugging Face collection upvotes
-
8
TADA ModelHugging Face collection71 Hugging Face collection upvotes
-
9
40 Hugging Face collection upvotes
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10
37 Hugging Face collection upvotes
Model activityModelScope Open lists
ModelScope likes
Model likes reported by ModelScope.
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1
MiniCPM5-1B ModelModelScope model101 ModelScope likes
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2
MiniMax-M3 ModelModelScope model87 ModelScope likes
ModelScope downloads
Model downloads reported by ModelScope.
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1
MiniCPM5-1B ModelModelScope model376,539 ModelScope downloads
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2
MiniMax-M3 ModelModelScope model3,837 ModelScope downloads
Keep exploring
Interpret the evidence on your terms.
Use a number as a starting point. Open the LifeHubber Resource for context, then check the original source before drawing your own conclusion.
