51.24K
Consumer AI tools listed
Updated July 17, 2026
As of July 17, 2026, There's An AI For That lists 51,242 consumer AI tools - but that is only one definition. The largest machine-countable pool is 2.92M+ models on Hugging Face. The true number depends entirely on what you count - see what each source measures.
51.24K
Consumer AI tools listed
2.92M
Hugging Face models hosted
219.36K
Largest GitHub AI topic: machine-learning
10K
AI-classified PyPI packages
4K
Futurepedia catalog size
2.5K
OpenTools catalog size
Short answer: how many AI tools exist depends entirely on the source you count. Each figure below is one source's own headline number, with its pull date and a one-click, ready-to-quote citation.
There is no single registry of "AI tools." Depending on which definition a source uses, from a packaged consumer app to a raw model checkpoint, the honest answer ranges from tens of thousands to millions. Here is what each term actually measures before you quote a number.
| Term | What it measures | Example | Source | Count |
|---|---|---|---|---|
| Consumer AI tool | A packaged app or service an end user interacts with directly. | ChatGPT, Midjourney, Perplexity | There's An AI For That | ~51K |
| AI model | A set of trained weights you can download and run yourself. | Llama 3, Stable Diffusion, Whisper | Hugging Face | ~2.9M |
| Open-source AI project | A public code repository tagged with an AI or ML topic. | PyTorch, LangChain, Ollama | GitHub topics | ~219K (machine-learning topic) |
| AI Python package | An installable library classified under the AI topic on PyPI. | transformers, scikit-learn, langchain | PyPI | 10K+ |
| AI dataset | A training or evaluation data collection hosted for reuse. | ImageNet, The Pile, Common Crawl | Hugging Face | ~963K |
| AI demo / Space | A hosted, runnable ML app or demo. | Hugging Face Spaces | Hugging Face | ~1.4M |
Every "how many AI tools" figure belongs to one of these tiers. Each tracks a different layer of the AI stack, from the app a user opens to the model underneath it.
~51K
Consumer SaaS tools
End-user apps, most built on top of a handful of foundation models.
Source: There's An AI For That
~2.9M
Hosted models
Trained checkpoints anyone can download and run.
Source: Hugging Face
~219K (largest topic)
Open-source AI projects
Public repositories tagged with an AI or ML topic.
Source: GitHub topics
10K+
AI Python packages
Installable libraries classified as AI on PyPI.
Source: PyPI
~963K datasets, ~1.4M Spaces
Datasets and demos
Reusable training data plus hosted, runnable ML apps.
Source: Hugging Face
Caveat: These tiers overlap and must not be summed into one grand total. A single consumer app in the top tier is typically built on one of the hosted models counted in a lower tier, and an open-source project can also ship a Python package, so the same underlying tool can be counted more than once across tiers. See how each definition differs →
Hugging Face is the largest open hub for hosted models, datasets, and Spaces. Data as of July 17, 2026.
2.92M
models
Trained checkpoints anyone can download and run, from small classifiers to full language models.
962.66K
datasets
Training and evaluation data collections that models are built and tested on.
1.42M
Spaces
Hosted, runnable demos and apps that let anyone try a model in the browser.
As of July 17, 2026. See the live counts on Hugging Face →
Repository counts per AI or ML topic tag, GitHub topics, as of July 17, 2026.
A repo can carry several AI topics at once, so these counts overlap and are never summed into one total.
As of July 17, 2026. Browse AI topics on GitHub →
Every directory curates its own catalog differently, so counts are not directly comparable. The note under each bar explains the scope.
Hosted AI models on Hugging Face compared with curated consumer AI tool directory listings, 2021 through 2026. Each series is scaled to its own range below so both trends stay readable side by side despite the huge gap in scale between them.
Figures from 2021 through 2025 are milestone estimates, not independently re-verified counts for every year in between; only the 2026 figures reflect a live, directly measured reading. See the Sources section for the citation behind each milestone.
A live daily counter that swings day to day, not a stable long-run average.
44
new AI tools added per day, across consumer AI tool directories
Basis: There's An AI For That new-tools-added-today counter on 2026-07-17.
Comparisons pulled straight from the numbers above - no hype, just what the data actually says when you put two figures side by side. Copy any one to share it.
Add up every tool tracked by There's An AI For That and the other directories on this page and you get about 57.74K consumer AI tools. Hugging Face lists 2.92M+ trained models on its own - about 51 times more.
There's An AI For That lists 51,242 consumer-facing AI tools. Hugging Face alone hosts 962.66K datasets used to train and evaluate models - roughly 19 times as many.
GitHub's "machine-learning" topic tags 219,362 repositories - about 4.3 times the 51,242 consumer AI tools listed on There's An AI For That. And that's one topic tag out of several tracked on this page.
Since 2021, Hugging Face's model count has grown about 97x, while directory-tracked consumer AI tools grew about 51x over the same span - the model layer is compounding roughly 1.9 times faster.
There's An AI For That's counter added about 44 new tools on July 17, 2026 alone. Sustained for a year, that pace would add roughly 16,060 tools - but a live daily counter that swings day to day, not a stable long-run average., so treat that yearly figure as a rough ceiling, not a forecast.
There is no single number, because it depends on what you count. As of July 17, 2026, There's An AI For That lists 51,242 consumer AI tools. But the largest machine-countable pool is 2,918,668 models hosted on Hugging Face. See the definitions section on this page for why each source measures something different.
Because "AI tool" is not one thing. A consumer app (like ChatGPT), a downloadable model, an open-source repo, and a Python package are all "AI tools" by some definition, and each source counts only its own slice. The counts also overlap, so they can never be summed into one total.
This page tracks 6 distinct definitions: consumer ai tool, ai model, open-source ai project, ai python package, ai dataset, ai demo / space. Each has its own source and its own count, laid out in the definitions table.
As of July 17, 2026, Hugging Face hosts 2,918,668 models, 962,657 datasets, and 1,422,199 Spaces (hosted demo apps).
GitHub's machine-learning topic alone tags 219,362 repositories (as of July 17, 2026). GitHub reports 5 AI-related topics separately; a repo can carry several at once, so the counts overlap and are never summed.
Roughly 44 per day, based on There's An AI For That new-tools-added-today counter on 2026-07-17. A live daily counter that swings day to day, not a stable long-run average.
There's An AI For That - the largest curated consumer directory - lists 51,242 as of July 17, 2026. Smaller editorial directories list fewer because they curate more tightly; see the directories comparison on this page.
A model is a set of trained weights you download and run yourself (Hugging Face hosts 2.92M of them). A tool is a packaged app or service you use directly, usually built on top of one of those models. That is why the model count dwarfs the consumer-tool count.
PyPI lists over 10,000 packages classified under its Artificial Intelligence topic, out of roughly 660,000 total PyPI projects (as of July 17, 2026).
There's An AI For That, with 51,242 listed tools. Directory sizes differ mostly because of how tightly each one curates.
This page's dataset was last compiled July 17, 2026. GitHub and OpenTools counts refresh automatically each run; the other sources are verified by hand against the primary source listed in the Sources section.
Every figure on this page is dated, linked, and tied to what that source actually counts. Where a term like "AI tool" or "AI model" means something different across sources, that's called out in the definitions section above rather than glossed over.
| Source | What it counts | As of | Access | Link |
|---|---|---|---|---|
| There's An AI For That | Curated consumer AI tools | July 17, 2026 | Public site; count read from homepage counter. | Visit source → |
| Hugging Face | Hosted models, datasets, and Spaces | July 17, 2026 | Public site; counts read from listing headers. | Visit source → |
| GitHub topics | Open-source repositories per AI topic | July 17, 2026 | Free Search API, no key required. | Visit source → |
| PyPI | AI-classified Python packages | July 17, 2026 | Public package index search. | Visit source → |
| Futurepedia | Editorial AI-tools directory | July 17, 2026 | Public site; publisher-stated catalog size. | Visit source → |
| OpenTools | AI tools and MCP servers directory | July 17, 2026 | Public site; catalog size read from meta. | Visit source → |
Page data last compiled July 17, 2026. Refreshed as source counts move - see the definitions section above for how each term ("AI tool," "AI model," "open-source AI project") is scoped before comparing this page's numbers to any other source.
Quoting a stat from zPlatform in your own research, article, or report? Copy an attributed line - each one links back here so readers can verify the source.
Plain sentence
As of July 17, 2026, zPlatform's AI-tools analysis shows There's An AI For That listing roughly 51,242 consumer AI tools. Source: zPlatform (https://zplatform.ai/how-many-ai-tools-are-there/).
Drop straight into an article or post
APA
Alston Antony (2026). How Many AI Tools Are There? zplatform.ai. Retrieved July 17, 2026, from https://zplatform.ai/how-many-ai-tools-are-there/
For academic references
MLA
Alston Antony. "How Many AI Tools Are There?" zplatform.ai, July 17, 2026, https://zplatform.ai/how-many-ai-tools-are-there/.
For academic references
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Why the "How Many AI Tools" Number Keeps Moving
Every "how many AI tools exist" figure is a snapshot of one definition, taken on one day. There's An AI For That counted 51,242 consumer-facing tools as of July 17, 2026 - a number that was already out of date by the time you read this, because directories like this one add new listings daily and quietly retire dead ones without announcing it.
The growth curve behind that number is not gentle. Hugging Face's hosted model count went from 30,000 in 2021 to 2.92M today - roughly 97x growth in 5 years, with 1,200,000 models already logged by 2024. Directory-tracked consumer tools grew too, from 1,000 in 2021 to 51,242 now, about 51x - real growth, but slower than the model layer underneath it. That gap matters: most of what gets called a "new AI tool" today is a thin wrapper around an existing model, not a new model itself.
GitHub tells a similar story from the builder's side. Its "machine-learning" topic alone tags 219,362 repositories, and a repo can carry several ai topics at once, so these counts overlap and are never summed into one total. That's the honest reason nobody can hand you one clean "total AI projects" number - the same repo, the same underlying model, and the same wrapped consumer app can each get counted in a different tier on this page.
There's An AI For That's own pace counter adds roughly 44 tools a day as of July 17, 2026, though a live daily counter that swings day to day, not a stable long-run average. Watch the trend, not any single day's counter, and always check what a source is actually counting before you quote its total - that's what the definitions section above this one is for.