All Risers

The 9 strongest risers across RiseFinder's public data sources for Week 41 · 5 October 2026.

Period: Weekly
Window: 7d
Rows: 9
Data through: Week 41 · 5 October 2026

← All current risers All all risers editions Newer: Week 42 · 12 October 2026 Older: Week 40 · 28 September 2026

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Weekly box

9 entries

LumaFusion

LumaFusion is a touch-screen video editing app. It provides six video, audio, or graphic tracks plus six additional audio tracks, a track-based and magnetic timeline, transitions, and external monitor preview. Editing features include green screen and chroma keying, color correction, LUT import, unlimited keyframes, multilayer titles, and audio tools such as EQ, voice isolation, and audio ducking. It supports frame rates from 18fps to 240fps, editing from Photos, Frame.io, and USB-C drives, and optional enhanced features available individually or through a Creator Pass subscription.

iOS Apps · 2 sources · also in Google Play

Open source ↗

↑ 34 positions

74 → 40 chart position

NetShort - Popular Dramas & TV

NetShort is a mobile app for watching original vertical short dramas, with episodes lasting one to three minutes. It offers genres such as romance, revenge, mystery, and fantasy, with new episodes added daily. The app includes personalized recommendations, episode alerts, playback speed controls, and filters, and a paid subscription removes ads, enables HD playback, and allows offline downloads.

Google Play Reviews · 2 sources · also in App Store charts

Open source ↗

+3.2%

1,860,000 → 1,920,000 reviews

Monash FODMAP Diet

Monash FODMAP Diet is a mobile app from researchers at Monash University for managing gastrointestinal symptoms associated with irritable bowel syndrome (IBS) using the low FODMAP diet. It includes a Food Guide showing FODMAP content with a traffic light system, certified low FODMAP products, recipes, a shopping list, and a Diary for recording food, symptoms, and reintroduction steps.

Google Play Reviews · 2 sources · also in App Store charts

Open source ↗

+0.4%

4,860 → 4,880 reviews

SupersonicLabs/Julia-1

Julia 1 is a machine learning model from SupersonicLabs and the first model in its Julia family. It is a small model of 144.3M parameters that takes a state, a question, and possible answers as input and produces a single decision. The same interface supports classification, routing, ordered scores, and Boolean decisions.

Hugging Face model

Open source ↗

+1,234.7%

274 → 3,657 downloads

@framers/agentos

AgentOS is an open-source TypeScript framework for building autonomous AI agents, licensed under Apache-2.0. It provides persistent cognitive memory, runtime tool forging where an agent writes TypeScript functions that an LLM judge approves and run in a sandboxed node:vm environment, multi-agent orchestration, guardrails, a voice pipeline, and support for 11 LLM providers.

npm / PyPI packages

Open source ↗

+325.2%

1,021 → 4,341 weekly downloads

@agentskit/memory

@agentskit/memory is an npm package that provides persistent conversation memory and vector search backends for AI agents built with AgentsKit. It offers chat memory backends such as file based JSON, SQLite, Redis, and Turso, plus vector memory adapters including Pinecone, Qdrant, pgvector, Chroma, Weaviate, Milvus, and MongoDB Atlas. Backends follow a shared VectorStore interface so they can be swapped without changing agent code.

npm / PyPI packages

Open source ↗

+265.3%

852 → 3,112 weekly downloads

@chat-adapter/x

@chat-adapter/x is an npm package that adapts the X (Twitter) platform for Chat SDK, using the X API v2 and the X Activity API. A bot built with it can reply to public mentions, hold direct message conversations, post from the bot account, and like posts, with encrypted XChat conversations available from the @chat-adapter/x/chat subpath. Setup involves creating an X app with OAuth 2.0 credentials and registering a webhook URL that receives events such as post.mention.create and dm.received.

npm / PyPI packages

Open source ↗

+187.7%

30,013 → 86,358 weekly downloads

fastino/fast-decisions

fastino/fast-decisions is a classification dataset suite associated with GLiNER2.5-Decide. It covers seventeen domains, with one file per domain. Each row contains a document plus the decisions a product has to make, including the task name, the candidate labels, and the gold label. The suite includes both single-label heads, which have one gold string, and multi-label heads.

Hugging Face dataset

Open source ↗

+177.1%

515 → 1,427 downloads

fastino/GLiNER2.5-Decide

GLiNER2.5-Decide is a 340M-parameter English text classification model in the GLiNER2.5 family. Instead of using a fixed prompt template, it accepts any label set at call time, covering uses such as intent, routing, sentiment, priority, policy, and multi-label tagging, all in a single forward pass without generating tokens. It can be loaded with AutoExtractor and run locally.

Hugging Face model

Open source ↗

+171.4%

19,757 → 53,625 downloads

This dated edition is generated from the reviewed RiseFinder export. Movement figures retain their original source, period and direction.

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