# AI Things vs DataCamp

AI Things records 0 monthly visits with 0% month-over-month growth and Free pricing. DataCamp records 6,237,230 monthly visits with -0.4% growth and Freemium pricing.

| Metric | [AI Things](https://openaitools.app/tool/ai-things) | [DataCamp](https://openaitools.app/tool/datacamp-com) |
| :--- | :--- | :--- |
| Website URL | https://aithings.dev | https://datacamp.com |
| Categories | AI Tools Directory | AI Course, AI API, Large Language Models (LLMs), AI Chatbot |
| Pricing Model | Free | Freemium |
| Monthly Visits | 0 | 6,237,230 |
| MoM Growth Rate | 0% | -0.4% |
| Primary Market | Global | United States |
| Direct Visits | 0 | 2,471,312 |
| Review Score | 4 | 4.6 |
| Saved Count | 1 | 11 |
| Supported Platforms | Website | Website |

## AI Things

AI Things is a curated resource directory for people who build with AI. Rather than listing hundreds of thin tool cards, it assembles a tighter library of articles, tools, videos, podcasts, books, communities and tweets — over a hundred items at the time of writing — and presents them in a single Browse view. Each item appears as a card with a title, source and a format label such as Article, Video, Podcast or Research.

The library is backed by a weekly newsletter described as a download on the tools, teams and trends shaping practical AI, aimed at engineers who want the gist without reading everything that ships each week. Subscribing is free and the list has grown to several thousand engineers.

The site is run by The Revoks Company and takes an explicitly editorial stance for curious builders, mixing practical engineering content with research and commentary. Because it curates by format and topic rather than offering deep filtering, it works best as a steady drip of recommendations — check the Browse page periodically or let the newsletter surface what matters — rather than as a search engine for AI tools.

**Pricing & Plans:** Free. Browsing the curated library and subscribing to the weekly newsletter cost nothing; the project is supported in part by newsletter and directory sponsorship.

- **108+ curated resources in one library:** Articles, books, communities, podcasts, tools, videos and tweets are all collected in a single library with a Browse view.
- **Weekly newsletter:** A weekly roundup described as covering the tools, teams and trends shaping practical AI, aimed at engineers who want to keep up without reading everything.
- **Format-based sections:** Items are organised by format — Top Picks, Tools, Articles, Tweets, Podcasts, Books, Videos, Communities — so you can pick based on the time you have.
- **Submission and deep-dive requests:** Submit pages for tools and a request form for deep dives, plus a creator spotlight that surfaces people building in the space.
- **Builder-focused editorial angle:** Run by The Revoks Company and framed for curious builders, with links out to X, LinkedIn, GitHub and Peerlist.

**Strengths:** Covers seven resource formats, not just tools — useful for readers who learn from podcasts and papers too; Editorial curation means far less noise than an open-submission tool list; Free to browse, with a free weekly newsletter for ongoing discovery

**Limitations:** Resource-heavy rather than tool-heavy — the directory skews toward reading and listening, not launchers; Minimal structured filtering compared with pure tool catalogs

[Profile (Markdown)](https://openaitools.app/tool/ai-things.md)

## DataCamp

DataCamp is a hands-on learning platform built around short interactive exercises rather than long video lectures. Its catalog spans Python, SQL, R, Excel, Power BI, Tableau, data engineering, machine learning and AI, with structured career tracks that guide you from fundamentals to job-ready skill sets. Because exercises run in the browser, you write real code and get instant feedback as you go.

As AI became central to data work, DataCamp expanded beyond classic analytics into AI upskilling: courses on working with the OpenAI API, building AI applications, prompt engineering and agent tooling, along with AI-focused certifications and an in-app AI tutor that explains concepts and reviews your code. Career tracks and skill tracks group courses into coherent learning paths, and certification exams let you prove specific competencies to employers.

DataCamp serves both individuals and organizations. Teams get analytics on learner progress and the ability to assign tracks by role, while individuals can start free and upgrade for unlimited content. It is a practical choice for analysts, engineers and business professionals who want measurable, project-style practice rather than passive video watching.

**Pricing & Plans:** Freemium plus paid subscriptions. A free basic tier offers selected courses, with individual monthly or annual plans for full access and separate team/business plans with admin analytics. Certifications and some exams are sold as additional add-ons.

- **Interactive coding lessons:** Short browser-based exercises in Python, SQL, R and more give instant feedback so you learn by writing real code.
- **Career and skill tracks:** Structured learning paths for data analyst, data scientist, AI engineer and other roles sequence courses into a coherent curriculum.
- **Industry certifications:** Exams such as AI Fundamentals, SQL Associate and Data Analyst certification let you demonstrate verified skills to employers.
- **AI tutor and AI courses:** An in-platform AI assistant helps explain concepts and debug code, alongside courses on the OpenAI API, prompt engineering and building AI apps.
- **Team and business dashboards:** Admins can assign tracks by role and track completion, engagement and skill progress across an organization.

**Strengths:** Hands-on exercises beat passive video for retention; Broad catalog covering analytics, engineering and AI in one subscription; Recognized certifications add credibility to a resume; Free tier and short lessons make it easy to start

**Limitations:** Full access requires an ongoing subscription; Advanced theory and research-level depth are lighter than in academic programs; Some certification exams cost extra beyond the subscription

[Profile (Markdown)](https://openaitools.app/tool/datacamp-com.md)

## Frequently Asked Questions

### How do AI Things and DataCamp compare in monthly traffic?

AI Things has 0 monthly visits, while DataCamp has 6,237,230. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

AI Things has a month-over-month growth rate of 0%; DataCamp has -0.4%.

### How does pricing compare?

AI Things: Free. Free. Browsing the curated library and subscribing to the weekly newsletter cost nothing; the project is supported in part by newsletter and directory sponsorship. DataCamp: Freemium. Freemium plus paid subscriptions. A free basic tier offers selected courses, with individual monthly or annual plans for full access and separate team/business plans with admin analytics. Certifications and some exams are sold as additional add-ons.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Coddy](https://openaitools.app/tool/coddy-tech) | 7,478,457 | +17.8% | Freemium | Teaches programming through bite-sized interactive lessons and browser playgrounds, but covers less advanced data science. | [.md](https://openaitools.app/tool/coddy-tech.md) |
| 2 | [Brilliant](https://openaitools.app/tool/brilliant) | 2,426,610 | -11.9% | Freemium | Teaches math and computer science through interactive visual puzzles and AI tutoring instead of video courses. | [.md](https://openaitools.app/tool/brilliant.md) |
| 3 | [Skillsoft Percipio](https://openaitools.app/tool/percipio-com) | 2,074,505 | +16.4% | Contact for Pricing | Delivers AI-native enterprise learning and curated courses, but focuses broadly on workforce skills rather than data science. | [.md](https://openaitools.app/tool/percipio-com.md) |
| 4 | [LabEx.io](https://openaitools.app/tool/labex-io) | 1,127,110 | -9.3% | Freemium | Offers browser-based Linux and DevOps labs guided by AI, but lacks broad multi-language data science curriculums. | [.md](https://openaitools.app/tool/labex-io.md) |
| 5 | [CodeSignal](https://openaitools.app/tool/codesignal) | 987,930 | -15.8% | Contact for Pricing | Combines technical assessments and practice-based engineering learning, but targets hiring and technical screening more heavily. | [.md](https://openaitools.app/tool/codesignal.md) |
| 6 | [Achievable](https://openaitools.app/tool/achievable-ai-adaptive-learning) | 623,691 | +16.1% | Freemium | Adaptive online exam prep that adapts to how you learn | [.md](https://openaitools.app/tool/achievable-ai-adaptive-learning.md) |
| 7 | [Dang.ai](https://openaitools.app/tool/dang-ai) | 552,907 | +17.5% | Free | A curated AI tools directory with 5,000+ listings | [.md](https://openaitools.app/tool/dang-ai.md) |
| 8 | [Vocareum](https://openaitools.app/tool/vocareum-com) | 531,556 | +5.4% | Paid | Provides hands-on cloud and data lab environments with AI simulations, but lacks DataCamp's structured course catalog. | [.md](https://openaitools.app/tool/vocareum-com.md) |
| 9 | [Futurepedia](https://openaitools.app/tool/futurepedia-find-the-best-ai-tools-software) | 527,719 | +22.5% | Free | Find, compare, and learn to use the best AI tools | [.md](https://openaitools.app/tool/futurepedia-find-the-best-ai-tools-software.md) |
| 10 | [mcp.so](https://openaitools.app/tool/mcp-server) | 286,704 | -3% | Free | Discover and share Model Context Protocol servers for AI agents and coding tools | [.md](https://openaitools.app/tool/mcp-server.md) |

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Source: https://openaitools.app/compare/ai-things-vs-datacamp-com

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