tarekmasryo/genai-tools-platforms-data

🧠 Generative AI Tools & Platforms (2025)

Author: Tarek Masryo · Kaggle
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.

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📦 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)

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📚 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

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🛠️ How to use

Load with Datasets (recommended)

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

# 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())

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🧭 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)

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📝 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.

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🧾 Citation

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

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📜 License

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