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Everything / Video and animation / Video generation

Trend in Video and animation · tag video-generation · through Sep 2026

Video generation Emerging

On TutorHero's Everything Index, Video generation is emerging on GitHub: 0.59 of every 10,000 new public repos over the last three months (567 a month), 9x vs a year ago. The 12-month forecast says rising (+99%). By the end of 2032, lines in the same state ended between 0.01x and 2.5x of where they started (median 0.54x).

Per 10k new repos0.59567 new repos a month
Year over year9x3 months: +67%
Next 12 months+99%80% band +68% to 6x
2032, median of history0.54x90% of past cases: 0.01x to 2.5x
Attention2.55%of new stars, +194% in a year
Jev 2032 call1.84xTop quarter of similar lines
Share on X

Since 2019, and the range to 2032

0.010.030.10.31320192020202120222023202420252026202720282029203020312032Range to 2032 (history of similar lines)Stable Diffusion releasedChatGPT launchesGPT-4Llama 2, open weightsModel Context ProtocolDeepSeek-R1Claude Code previewHigh 1.47Jev 1.09Median 0.32Low 0.01

New repos per 10,000 (3-month average, log scale)12-month forecastRange to 2032: middle half and 90% of past similar linesJev's 2032 call

The range is not a forecast of this line: it is what GitHub lines in the same state (more than doubled its share of new repos in a year) did 1 to 5 years later, 2019 to 2026, applied to today's level. Past 5 years it is stretched, not measured. Checked out of time (learned before 2022, scored after), 71% of outcomes landed inside the 90% range, so read it as wide. Open it in the Everything chart.

Week by week

Last week283 new reposOct 12 to Oct 18 · -1% against the field
Last 4 weeks▲ +16%834 new repos, against the 4 weeks before and the field
Wikipedia, 7 days3.4k views+54% against the 4 weeks before, all of Wikipedia the same way
AprMayJunJulAugSepOct

Wikipedia views a day, last 8 weeks

Aug 28Sep 4Sep 11Sep 18Sep 25Oct 2Oct 9Oct 16

New public repos with the video-generation tag each week (Monday to Sunday, UTC). The outlined bars, last week included, are still filling in, as tags are often added days after a repo is created, so their height will grow a little. "Against the field" divides the change by what the typical tag did, so a wave that lifts every tag does not count. Hover for the numbers.

Built vs talked about

Hacker News5 stories a month-18% share of HN vs a year ago · titles with "video generation"
Wikipedia6.5k views a month+24% share of Wikipedia vs a year ago · Text-to-video model
Talk vs buildingBuilt more than talked aboutHacker News -18% vs GitHub new repos 9x over the year, compared with the typical trend

Each line is its own share (of all new GitHub repos, all Hacker News stories, all English Wikipedia views, all new stars on the repos we track), shown as a share of its own peak, so the timing and shape compare even though the units differ. Hover for the counts. Tap a name to hide or show a line.

What it means

Studentslearning it, contributing, getting hiredTop priority
  • Worth learning now: Video generation is emerging, 9x share of new GitHub repos vs a year ago.
  • Start by reading hypit-ai/hypit (+18.5k stars in 3 months) and latent-spaces/brag (+11.5k stars in 3 months).
  • People to follow: ATH-MaaS, HBAI-Ltd, Wan.
  • Jev for someone who wants to contribute or get hired: Top priority (3.5 of 4).
Founders and builderswhat to build nextCommit this year
  • Builders and attention both rising: new repos 9x, attention +194% in a year.
  • 39.9 new stars per new repo over 3 months, vs 8.50 for the typical trend: more demand per project than most fields.
  • The 12-month forecast for its share: +99% (Rising).
  • Built more than talked about: Hacker News -18% vs new repos 9x in a year, less talk per builder than the typical trend, so builders are ahead of the conversation.
  • Jev for a builder: Commit this year (3.4 of 4).
Investorswhich fields deserve research timeCommit this year
  • History: of past GitHub lines that more than doubled its share of new repos in a year, 61% had a smaller share 3 to 5 years later and 8% at least doubled.
  • Jev's 2032 call: top quarter of similar lines, which on the base rates means about 1.84x today's share by the end of 2032.
  • Attention: 2.55% of new stars on the repos we track, +194% in a year.
  • Hacker News: 5 stories a month, -18% share in a year; Wikipedia 6.5k views a month, +24%.
  • Jev for an investor: Commit this year (3.3 of 4).
  • Not investment advice: this measures what people build on GitHub, not any company.
Developers choosing toolswhich tools to adoptCommit this year
  • Most-starred tools here lately: hypit-ai/hypit, latent-spaces/brag.
  • The field is emerging, so expect new tools and fast changes; pin versions.
  • Jev for a developer picking tools: Commit this year (3.2 of 4).

Repos carrying it now

hypit-ai/hypitClone any viral video with AI agents. Not just a script, the whole workflow: swap the face, the words, the B-roll, ship 100 variants in one +18.5k stars in 3 months · newlatent-spaces/bragYou built it. Now brag. Turn the project you just created into a short, shareable launch video with one command.+11.5k stars in 3 months · newcalesthio/OpenMontageWorld's first open-source, agentic video production system. 12 production pipelines, 100+ tools, 700+ agent skill and production-knowledge f+7.3k stars in 3 months · vouchedVincentwei1021/video-shotcraftAI video skill for Claude Code & Codex — cinematic product videos with Remotion: 152 shot recipe cards, 209 motion previews, a production-re+3.1k stars in 3 months · voucheddramaclaw/dramaclawA general-purpose AIGC video engine: script to finished film in one pipeline — dramas, ads, product videos, otome games, and more. | 通用 AIGC+2.2k stars in 3 months · newVincentwei1021/anything2explainerTopic in, narrated explainer video out. A Claude Code / Codex skill that turns any topic into a black-canvas motion-graphics explainer video+2.2k stars in 3 months · vouched

People building it

ATH-MaaSAI video engines, multimodal models, and ComfyUI automation.Influence 37HBAI-LtdCreating Toonflow, an open-source AI video creation tool.Influence 45WanAlibaba Cloud's Large-scale Generative Models.Influence 64Tencent-HunyuanGenerative AI models for video, 3D assets, and images.Influence 78Latent SpacesA home for side quests, prototypes, and useful oddities.Influence 23Show LabshowlabInfluence 40RobbyantIntelligence in Action, Benefits for EveryoneInfluence 36Hao AI Labhao-ai-labInfluence 33

More in Video and animation

Text to videoEmerging10x in a year · 184 new repos a monthRemotionEmerging26x in a year · 184 new repos a monthAvatarAccelerating+211% in a year · 83 new repos a month

Questions

Is Video generation growing on GitHub?

Yes. Its share of all new public GitHub repos is 9x vs a year ago and +67% over the last three months (Sep 2026). Phase: Emerging.

How many new Video generation repos are created each month?

About 567 new public repos a month carry the video-generation tag (three-month average to Sep 2026), or 0.59 of every 10,000 new repos.

What will Video generation look like in 2032?

Nobody knows, and we say how much. Of past GitHub lines that more than doubled its share of new repos in a year, the middle half had between 0.14x and 1.27x of their share 3 to 5 years later, and 61% ended smaller. Jev's call: Top quarter of similar lines.

Is Video generation more talked about than built?

Built more than talked about. Over the year its share of Hacker News stories moved -18% while its share of new GitHub repos moved 9x. New repos grew faster than talk for most AI trends this year, so the label compares it with the typical trend: about 1/3 of the talk per builder of the median trend.

Not investment advice. Measurements of what people build and star on GitHub, a statistical forecast, base rates and a model's reading of them. Nothing here is about any company's revenue, valuation or stock.