---
pretty_name: "Generative AI Tools & Platforms (2025)"
license: cc-by-4.0
language:
  - en
size_categories:
  - 100<n<1K
tags:
  - generative-ai
  - llm
  - tools
  - platforms
  - catalog
  - benchmarking
  - ecosystem
  - eda
  - tabular
  - dataset

configs:
  - config_name: default
    data_files:
      - split: train
        path: "data/genai_tools_platforms_2025.csv"
---

# 🧠 Generative AI Tools & Platforms (2025)

**Author:** [Tarek Masryo](https://huggingface.co/TarekMasryo) · [Kaggle](https://www.kaggle.com/tarekmasryo)  
**License:** CC BY 4.0 (Attribution)

A clean, structured catalog of **113 Generative AI tools and platforms** released up to **2025**.

Each row represents one tool/platform and includes:
- Vendor/maintainer
- Canonical category and primary modality
- API availability and status
- Open-source indicator
- Release year + derived timeline features
- Modality flags and breadth count

Designed for ecosystem mapping, benchmarking, and analytics workflows.

---

## 📦 What’s inside

**Canonical file:** `data/genai_tools_platforms_2025.csv`  
**Unit of analysis:** 1 row = 1 tool/platform  
**Rows:** 113  
**Columns:** 22

### Column groups
- **Core info:** `tool_name`, `company`, `website`, `source_domain`
- **Taxonomy:** `category_canonical`, `modality_canonical`
- **Access:** `open_source`, `api_available`, `api_status`
- **Timeline:** `release_year`, `years_since_release`
- **Modality flags:** `mod_text`, `mod_image`, `mod_video`, `mod_audio`, `mod_code`, `mod_design`, `mod_infra`, `mod_productivity`, `mod_safety`, `mod_multimodal`
- **Derived:** `modality_count` (sum of supported modality flags)

---

## 📚 Data dictionary

| Column | Type | Description |
|---|---|---|
| tool_name | string | Tool/platform name (intended unique key) |
| company | string | Vendor/maintainer |
| website | string | Official homepage (full URL) |
| source_domain | string | Extracted domain for grouping (derived from `website`) |
| category_canonical | string | Standardized use-case family (e.g., LLMs, Image Gen, Video Gen, RAG) |
| modality_canonical | string | Primary capability type (e.g., text, image, video, audio, code, multimodal) |
| open_source | int (0/1) | 1 if marked open-source, else 0 |
| api_available | int (0/1) | 1 if a public API is available, else 0 |
| api_status | string | API status (`api` or `unavailable`) |
| release_year | int | First public release/launch year |
| years_since_release | int | Years since release (computed as `2025 - release_year`) |
| mod_text | int (0/1) | Supports text modality |
| mod_image | int (0/1) | Supports image modality |
| mod_video | int (0/1) | Supports video modality |
| mod_audio | int (0/1) | Supports audio modality |
| mod_code | int (0/1) | Supports code modality |
| mod_design | int (0/1) | Supports design modality |
| mod_infra | int (0/1) | Supports infra/dev tooling modality |
| mod_productivity | int (0/1) | Supports productivity modality |
| mod_safety | int (0/1) | Supports safety/moderation modality |
| mod_multimodal | int (0/1) | Marked as multimodal (as provided in the dataset) |
| modality_count | int | Sum of supported modality flags |

---

## 🛠️ How to use

### Load with Datasets (recommended)

```python
from datasets import load_dataset, get_dataset_config_names

repo_id = "tarekmasryo/genai-tools-platforms-data"

print("Configs:", get_dataset_config_names(repo_id))

ds = load_dataset(repo_id)  # loads the default config
df = ds["train"].to_pandas()

print(df.shape)
print(df.head(3))
```

### Quick checks

```python
# API coverage rate
api_rate = df["api_available"].mean()
print("API availability:", round(float(api_rate), 2))

# Category distribution
print(df["category_canonical"].value_counts().head(10))

# Modality breadth
print(df["modality_count"].describe())
```

---

## 🧭 Suggested use cases

- Ecosystem maps and dashboards for the GenAI landscape
- Benchmark API and open-source coverage across categories
- Trend views by release year and timeline analytics
- Cluster tools by capability breadth and modality mix
- Simple recommendation baselines (rule-based or ML-based)

---

## 📝 Notes

- This is a curated catalog compiled from public sources (official websites, docs, product pages).
- Coverage is best-effort and may not be exhaustive.
- Fields like `open_source` and `api_available` reflect publicly advertised status at collection time.

---

## 🧾 Citation

Tarek Masryo. (2025). Generative AI Tools & Platforms (2025).

---

## 📜 License

**CC BY 4.0 (Attribution)** — free to share and adapt with attribution.