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Hugging Face
Jeu de données · 27.4M visites mensuelles

Hugging Face est la principale plateforme et communauté open-source pour l'apprentissage automatique. Elle fournit des outils aux développeurs et chercheurs pour construire, entraîner et déployer des modèles de pointe, offrant un vaste hub de modèles pré-entraînés, de jeux de données et d'applications de démonstration.

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Microsoft Open Source
Plateforme · 210K visites mensuelles

Le hub central de Microsoft pour découvrir, utiliser et contribuer à un vaste portefeuille de projets open source. Il offre aux développeurs un accès à des outils puissants, des frameworks et des bibliothèques d'IA/ML, favorisant la collaboration et l'innovation au sein d'une communauté mondiale.

Hugging Face vs Microsoft Open Source : prix, fonctions et trafic

Comparez Hugging Face et Microsoft Open Source selon leur positionnement, prix, fonctions, trafic et avis.

Mis à jour 5 août 2026

Aperçu du produit

Hugging Face Aperçu du produit

Hugging Face est la principale plateforme et communauté open-source pour l'apprentissage automatique. Elle fournit des outils aux développeurs et chercheurs pour construire, entraîner et déployer des modèles de pointe, offrant un vaste hub de modèles pré-entraînés, de jeux de données et d'applications de démonstration.

Preview

Microsoft Open Source Aperçu du produit

Le hub central de Microsoft pour découvrir, utiliser et contribuer à un vaste portefeuille de projets open source. Il offre aux développeurs un accès à des outils puissants, des frameworks et des bibliothèques d'IA/ML, favorisant la collaboration et l'innovation au sein d'une communauté mondiale.

Preview

Detailed feature comparison

FeatureHugging FaceMicrosoft Open Source
Catégorie principaleJeu de donnéesPlateforme
Ajouté2025-08-172025-08-01
TarificationFreemiumGratuit
Site officielhuggingface.coopensource.microsoft.com
Type de produitSite webSite web
Performance data
Note utilisateurNon vérifiéNon vérifié
Commentaires00
Visites mensuelles27.4M210K
Croissance mensuelle-9.6%50.5%
Favoris117106
DetailsVoir les détailsVoir les détails

Hugging Face vs Microsoft Open Source monthly traffic

Compare Hugging Face and Microsoft Open Source by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.

How to interpret the traffic data

In the Hugging Face vs Microsoft Open Source monthly traffic comparison, Hugging Face currently shows 27.4M visits and Microsoft Open Source shows 210K; Hugging Face has about 130.3 times the visible traffic of Microsoft Open Source, an absolute difference of about 27.2M visits. This reflects visible reach, not feature quality or paid users.

Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.

Hugging Face monthly traffic:

Latest traffic

Visites mensuelles
27.4M
Durée moyenne
5:18
Pages par visite
6.47
Taux de rebond
41.95%
Data updated 2026-06-15

Monthly traffic trend

  • 2025/9: 22.9M Visites mensuelles
  • 2026/1: 24.9M Visites mensuelles
  • 2026/2: 23.3M Visites mensuelles
  • 2026/3: 26.4M Visites mensuelles
  • 2026/4: 30.3M Visites mensuelles
  • 2026/5: 27.4M Visites mensuelles

Principales régions

Top 5 countries/regions
Country/regionPercentageTraffic
🇺🇸United States38.11%10.4M
🇨🇳China25.84%7.1M
🇮🇳India17.44%4.8M
🇷🇺Russia9.32%2.6M
🇩🇪Germany9.29%2.5M

Sources de trafic

Source typePercentageTraffic
Direct79.44%21.7M
Référence19.3%5.3M
E-mail1.26%344.8K

Mots-clés

deepseekdeepseek v4deepseek v4 prohugging facehuggingface

Microsoft Open Source monthly traffic:

Latest traffic

Visites mensuelles
210K
Durée moyenne
1:01
Pages par visite
1.94
Taux de rebond
63.86%
Data updated 2026-06-15

Monthly traffic trend

  • 2025/9: 137.2K Visites mensuelles
  • 2026/1: 72.4K Visites mensuelles
  • 2026/2: 73.7K Visites mensuelles
  • 2026/3: 117.3K Visites mensuelles
  • 2026/4: 139.5K Visites mensuelles
  • 2026/5: 210K Visites mensuelles

Principales régions

Top 5 countries/regions
Country/regionPercentageTraffic
🇺🇸United States54.77%115K
🇮🇳India16.45%34.5K
🇯🇵Japan9.88%20.7K
🇨🇦Canada9.6%20.2K
🇬🇧United Kingdom9.3%19.5K

Sources de trafic

Source typePercentageTraffic
Référence50.87%106.8K
Direct48.22%101.3K
E-mail0.91%1.9K

Mots-clés

agent governance toolkitagent os kernelazure linux 4.0microsoft agent governance toolkitversions of basic still available
Traffic-based selection guidance: If public market visibility is an important first-pass criterion, investigate Hugging Face first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.

Usage comparison

Compare the core capabilities of Hugging Face and Microsoft Open Source

Hugging Face Core features

Collaboration
Jeu de données
Apprentissage automatique

Microsoft Open Source Core features

Collaboration
Plateforme
Apprentissage Automatique
Dépôt de code

Use cases

Hugging Face Use cases

apprentissage automatique
Open source
Communauté IA
vision par ordinateur
Hébergement de jeux de données
plateforme de développement
modèles de diffusion
Grands modèles linguistiques
Hub de modèles
NLP

Microsoft Open Source Use cases

apprentissage automatique
Open source
IA
Azure
Programmation
Collaboration
Outils pour développeurs
cadre
GitHub
Bibliothèque
Microsoft
.NET
vscode

Hugging Face vs Microsoft Open Source:In-depth comparison and selection guidance

First decide whether the products solve the same kind of need

This in-depth Hugging Face vs Microsoft Open Source comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Hugging Face is primarily listed under “Jeu de données”, while Microsoft Open Source is primarily listed under “Plateforme”, so the first decision is whether your actual task matches their recorded scope.

The structured fields currently show these decision-relevant differences: Primary category (Hugging Face: Jeu de données; Microsoft Open Source: Plateforme); Pricing (Hugging Face: Freemium; Microsoft Open Source: Free); Monthly visits (Hugging Face: 27.4M; Microsoft Open Source: 210K); Monthly growth (Hugging Face: -9.6%; Microsoft Open Source: 50.5%); Favorites (Hugging Face: 117; Microsoft Open Source: 106). These facts are more useful for selection than brand visibility alone.

What market visibility and monthly traffic mean

In the Hugging Face vs Microsoft Open Source monthly traffic comparison, Hugging Face currently shows 27.4M visits and Microsoft Open Source shows 210K; Hugging Face has about 130.3 times the visible traffic of Microsoft Open Source, an absolute difference of about 27.2M visits. This reflects visible reach, not feature quality or paid users.

Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.

If public market visibility is an important first-pass criterion, investigate Hugging Face first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.

Product positioning, use cases, and roles

Hugging Face and Microsoft Open Source currently overlap in shared categories: Collaboration; shared tags: apprentissage automatique et Open source. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.

Hugging Face's unique categories/tags are Jeu de données, Apprentissage automatique, Communauté IA, vision par ordinateur, Hébergement de jeux de données, plateforme de développement, modèles de diffusion et Grands modèles linguistiques; Microsoft Open Source's are Plateforme, Apprentissage Automatique, Dépôt de code, IA, Azure, Programmation, Collaboration et Outils pour développeurs. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.

What ratings, comments, and favorites can tell you

Hugging Face has no verified rating, 0 comments, 117 favorites, and 126 likes;Microsoft Open Source has no verified rating, 0 comments, 106 favorites, and 102 likes。

Neither product has enough rating or comment samples for a credible reputation ranking.

Selection guidance by actual need

When to evaluate Hugging Face first

Put Hugging Face on the priority trial list when the task aligns with “Jeu de données” and especially Jeu de données, Apprentissage automatique, Communauté IA, vision par ordinateur, Hébergement de jeux de données et plateforme de développement. This follows recorded positioning and does not imply unlisted capabilities are absent.

Hugging Face also currently records: pricing is freemium, product type is website, 27.4M verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.

When to evaluate Microsoft Open Source first

Put Microsoft Open Source on the priority trial list when the task aligns with “Plateforme” and especially Plateforme, Apprentissage Automatique, Dépôt de code, IA, Azure et Programmation. This follows recorded positioning and does not imply unlisted capabilities are absent.

Microsoft Open Source also currently records: pricing is free, product type is website, 210K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.

How to validate the recommendation before deciding

The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in Hugging Face and Microsoft Open Source, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.

FAQ comparative

How should I choose between Hugging Face and Microsoft Open Source?
Compare positioning, pricing, taxonomy, and traffic maturity, then verify the latest details on each official website.
Where does this comparison data come from?
The factual baseline is derived from product, taxonomy, traffic, and community data. Reviewed editorial conclusions show their source and verification date.
What do unknown fields mean?
Unknown means there is not enough reliable evidence; the page does not fill gaps with assumptions.