Open Source Projects
AI mentions in answer for 1 question: "What are the best Open Source Projects options available today? Please provide a comprehensive overview including: the leading brands and products, top companies and service providers, recognized experts and thought leaders, promising startups and new market entrants, major industry events and conferences, active communities and forums, and influential publications and media covering this space."
2025-12-30
120
Brands
194
Sources
1
Questions
5
AI Models
About This Report
This report was generated for brands and citations mentioned in answers about Open Source Projects from 5 AI models (namely: Perplexity Sonar (with search) (latest), Anthropic Claude Sonnet (latest),
OpenAI ChatGPT Latest,
Google Gemini Flash (latest), X.AI Grok (latest)). AI models were asked the following questions:
- "What are the best Open Source Projects options available today? Please provide a comprehensive overview including: the leading brands and products, top companies and service providers, recognized experts and thought leaders, promising startups and new market entrants, major industry events and conferences, active communities and forums, and influential publications and media covering this space." (view report)
- "If I'm looking to get into Open Source Projects, who and what should I know about? Include the most trusted brands, recommended products and services, reputable companies and providers, influential experts and reviewers to follow, helpful communities and resources, important events and conferences, notable startups disrupting the space, and key publications and media channels to stay informed." (view report)
- "What does the Open Sources Projects industry look like right now? Identify the dominant market leaders and brands, best products and services, key companies and providers, influential figures and thought leaders, emerging startups and trends, major conferences and events, active professional communities, and the top publications and media that cover this industry." (view report)
Brand Rankings
Brands mentioned by AI models, ranked by share of voice
| # | Brand | Voice | Position | Mentions | AI |
|---|---|---|---|---|---|
| 1 |
|
100.0%★
|
28★ | 14.5% (94)★ |
|
| 2 |
Linux
product
|
38.1%★
|
1★ | 9.1% (59)★ |
|
| 3 |
Kubernetes
product
|
7.8%★
|
7★ | 3.2% (21)★ |
|
| 4 |
Supabase
organization
|
7.1%★
|
33★ | 2.6% (17)★ |
|
| 5 |
Red Hat
organization
|
4.8%★
|
9★ | 2.6% (17)★ |
|
| 6 |
|
4.2%★
|
3★ | 1.8% (12)★ |
|
| 7 |
Python
product
|
3.4%★
|
22★ | 3.1% (20)★ |
|
| 8 |
Stack Overflow
organization
|
3.0%★
|
40★ | 1.2% (8)★ |
|
| 9 |
Git
product
|
2.8%★
|
21★ | 1.2% (8)★ |
|
| 10 |
HashiCorp
organization
|
2.5%★
|
14★ | 1.5% (10)★ |
|
| 11 |
Hugging Face
organization
|
2.4%★
|
21★ | 1.2% (8)★ |
|
| 12 |
Dev.to
organization
|
2.4%★
|
36★ | 2.3% (15)★ |
|
| 13 |
Canonical
organization
|
2.3%★
|
9★ | 1.1% (7)★ |
|
| 14 |
|
2.3%★
|
15★ | 1.5% (10)★ |
|
| 15 |
TensorFlow
product
|
1.8%★
|
20★ | 0.9% (6)★ |
|
| 16 |
Terraform
product
|
1.7%★
|
14★ | 1.1% (7)★ |
|
| 17 |
Appwrite
organization
|
1.7%★
|
35★ | 1.1% (7)★ |
|
| 18 |
PostgreSQL
product
|
1.5%★
|
13★ | 0.9% (6)★ |
|
| 19 |
FOSDEM
event
|
1.5%★
|
38★ | 1.1% (7)★ |
|
| 20 |
Fedora
product
|
1.4%★
|
5★ | 0.6% (4)★ |
|
| 21 |
SCALE
event
|
1.4%★
|
17★ | 0.9% (6)★ |
|
| 22 |
Opensource.com
organization
|
1.4%★
|
46★ | 1.1% (7)★ |
|
| 23 |
Microsoft
organization
|
1.4%★
|
34★ | 0.8% (5)★ |
|
| 24 |
Apache Software Foundation
organization
|
1.3%★
|
24★ | 0.8% (5)★ |
|
| 25 |
The Linux Foundation
organization
|
1.3%★
|
11★ | 1.1% (7)★ |
|
| 26 |
Node.js
product
|
1.2%★
|
23★ | 0.9% (6)★ |
|
| 27 |
Reddit
organization
|
1.0%★
|
42★ | 0.8% (5)★ |
|
| 28 |
Cloud Native Computing Foundation
organization
|
1.0%★
|
31★ | 0.6% (4)★ |
|
| 29 |
PyTorch
product
|
1.0%★
|
19★ | 0.6% (4)★ |
|
| 30 |
React
product
|
1.0%★
|
13★ | 1.1% (7)★ |
|
| 31 |
Redis
product
|
0.9%★
|
17★ | 0.6% (4)★ |
|
| 32 |
The New Stack
organization
|
0.9%★
|
45★ | 0.8% (5)★ |
|
| 33 |
LWN.net
organization
|
0.9%★
|
45★ | 0.8% (5)★ |
|
| 34 |
Docker
product
|
0.9%★
|
7★ | 1.2% (8)★ |
|
| 35 |
Linus Torvalds
person
|
0.9%★
|
30★ | 0.6% (4)★ |
|
| 36 |
Kelsey Hightower
person
|
0.9%★
|
33★ | 0.6% (4)★ |
|
| 37 |
Apache HTTP Server
product
|
0.8%★
|
21★ | 0.8% (5)★ |
|
| 38 |
MongoDB
product
|
0.7%★
|
12★ | 1.1% (7)★ |
|
| 39 |
MySQL
product
|
0.7%★
|
18★ | 0.8% (5)★ |
|
| 40 |
Free Software Foundation
organization
|
0.6%★
|
39★ | 0.6% (4)★ |
|
| 41 |
Phoronix
organization
|
0.6%★
|
54★ | 0.8% (5)★ |
|
| 42 |
MariaDB
product
|
0.5%★
|
19★ | 0.6% (4)★ |
|
| 43 |
Debian
product
|
0.5%★
|
5★ | 0.5% (3)★ |
|
| 44 |
|
0.5%★
|
27★ | 0.5% (3)★ |
|
| 45 |
FreeBSD
product
|
0.5%★
|
8★ | 0.5% (3)★ |
|
| 46 |
|
0.5%★
|
33★ | 0.6% (4)★ |
|
| 47 |
Hacker News
organization
|
0.4%★
|
50★ | 0.6% (4)★ |
|
| 48 |
Ansible
product
|
0.4%★
|
11★ | 0.5% (3)★ |
|
| 49 |
Eclipse Foundation
organization
|
0.4%★
|
26★ | 0.5% (3)★ |
|
| 50 |
Richard Stallman
person
|
0.4%★
|
38★ | 0.5% (3)★ |
|
| 51 |
Open Source Summit
event
|
0.4%★
|
46★ | 0.6% (4)★ |
|
| 52 |
NGINX
product
|
0.4%★
|
21★ | 0.5% (3)★ |
|
| 53 |
OSCON
event
|
0.4%★
|
27★ | 0.6% (4)★ |
|
| 54 |
Jenkins
product
|
0.4%★
|
15★ | 0.5% (3)★ |
|
| 55 |
Guido van Rossum
person
|
0.4%★
|
41★ | 0.5% (3)★ |
|
| 56 |
|
0.3%★
|
34★ | 0.5% (3)★ |
|
| 57 |
All Things Open
event
|
0.3%★
|
29★ | 0.6% (4)★ |
|
| 58 |
|
0.3%★
|
35★ | 0.5% (3)★ |
|
| 59 |
SUSE
organization
|
0.3%★
|
36★ | 0.5% (3)★ |
|
| 60 |
PyCon
event
|
0.3%★
|
48★ | 0.5% (3)★ |
|
| 61 |
Apache Spark
product
|
0.3%★
|
17★ | 0.5% (3)★ |
|
| 62 |
GitHub Universe
event
|
0.1%★
|
41★ | 0.8% (5)★ |
|
| 63 |
NocoDB
organization
|
0.1%★
|
33★ | 0.6% (4)★ |
|
| 64 |
Elastic
organization
|
0.0%★
|
38★ | 0.8% (5)★ |
|
| 65 |
Discourse
organization
|
0.0%★
|
62★ | 0.6% (4)★ |
|
| 66 |
InfoQ
organization
|
0.0%★
|
65★ | 0.6% (4)★ |
|
| 67 |
Directus
organization
|
0.0%★
|
37★ | 0.5% (3)★ |
|
| 68 |
|
0.0%★
|
15★ | 0.9% (6)★ |
|
| 69 |
Open Source Initiative
organization
|
0.0%★
|
28★ | 0.5% (3)★ |
|
| 70 |
AlternativeTo
organization
|
0.0%★
|
58★ | 0.5% (3)★ |
|
| 71 |
Open Source Collective
organization
|
0.0%★
|
56★ | 0.5% (3)★ |
|
| 72 |
SourceForge
organization
|
0.0%★
|
4★ | 0.3% (2)★ |
|
| 73 |
Bitbucket
organization
|
0.0%★
|
5★ | 0.3% (2)★ |
|
| 74 |
Awesome Lists
event
|
0.0%★
|
71★ | 0.3% (2)★ |
|
| 75 |
|
0.0%★
|
16★ | 0.5% (3)★ |
|
| 76 |
Thunderbird
product
|
0.0%★
|
17★ | 0.5% (3)★ |
|
| 77 |
Codeberg
organization
|
0.0%★
|
7★ | 0.3% (2)★ |
|
| 78 |
Software Freedom Conservancy
organization
|
0.0%★
|
20★ | 0.3% (2)★ |
|
| 79 |
Python Software Foundation
organization
|
0.0%★
|
23★ | 0.3% (2)★ |
|
| 80 |
Chromium
product
|
0.0%★
|
31★ | 0.3% (2)★ |
|
| 81 |
Vue.js
product
|
0.0%★
|
43★ | 0.3% (2)★ |
|
| 82 |
Django
product
|
0.0%★
|
44★ | 0.3% (2)★ |
|
| 83 |
Ruby on Rails
product
|
0.0%★
|
45★ | 0.3% (2)★ |
|
| 84 |
Joomla
product
|
0.0%★
|
53★ | 0.3% (2)★ |
|
| 85 |
WooCommerce
product
|
0.0%★
|
54★ | 0.3% (2)★ |
|
| 86 |
|
0.0%★
|
55★ | 0.3% (2)★ |
|
| 87 |
PrestaShop
product
|
0.0%★
|
56★ | 0.3% (2)★ |
|
| 88 |
LibreOffice
product
|
0.0%★
|
59★ | 0.3% (2)★ |
|
| 89 |
ONLYOFFICE
product
|
0.0%★
|
61★ | 0.3% (2)★ |
|
| 90 |
Confluent
organization
|
0.0%★
|
63★ | 0.3% (2)★ |
|
| 91 |
Tauri
organization
|
0.0%★
|
73★ | 0.3% (2)★ |
|
| 92 |
Pocketbase
organization
|
0.0%★
|
77★ | 0.3% (2)★ |
|
| 93 |
Cal.com
organization
|
0.0%★
|
79★ | 0.3% (2)★ |
|
| 94 |
PostHog
organization
|
0.0%★
|
80★ | 0.3% (2)★ |
|
| 95 |
Plausible
organization
|
0.0%★
|
81★ | 0.3% (2)★ |
|
| 96 |
Excalidraw
organization
|
0.0%★
|
82★ | 0.3% (2)★ |
|
| 97 |
Red Hat Summit
event
|
0.0%★
|
91★ | 0.3% (2)★ |
|
| 98 |
DockerCon
event
|
0.0%★
|
92★ | 0.3% (2)★ |
|
| 99 |
CNCF Slack
organization
|
0.0%★
|
98★ | 0.3% (2)★ |
|
| 100 |
Linux Journal
organization
|
0.0%★
|
103★ | 0.3% (2)★ |
|
| 101 |
TechCrunch
organization
|
0.0%★
|
106★ | 0.3% (2)★ |
|
| 102 |
The Register
organization
|
0.0%★
|
107★ | 0.3% (2)★ |
|
| 103 |
ZDNet
organization
|
0.0%★
|
108★ | 0.3% (2)★ |
|
| 104 |
Ars Technica
organization
|
0.0%★
|
109★ | 0.3% (2)★ |
|
| 105 |
Changelog
product
|
0.0%★
|
110★ | 0.3% (2)★ |
|
| 106 |
FOSS Force
organization
|
0.0%★
|
111★ | 0.3% (2)★ |
|
| 107 |
It's FOSS
organization
|
0.0%★
|
112★ | 0.3% (2)★ |
|
| 108 |
Product Hunt
organization
|
0.0%★
|
117★ | 0.3% (2)★ |
|
| 109 |
Libraries.io
organization
|
0.0%★
|
119★ | 0.3% (2)★ |
|
| 110 |
KubeCon + CloudNativeCon
event
|
0.0%★
|
28★ | 0.2% (1)★ |
|
| 111 |
Brendan Eich
person
|
0.0%★
|
67★ | 0.2% (1)★ |
|
| 112 |
Mitchell Baker
person
|
0.0%★
|
68★ | 0.2% (1)★ |
|
| 113 |
Jim Whitehurst
person
|
0.0%★
|
69★ | 0.2% (1)★ |
|
| 114 |
Jessie Frazelle
person
|
0.0%★
|
71★ | 0.2% (1)★ |
|
| 115 |
Chris DiBona
person
|
0.0%★
|
72★ | 0.2% (1)★ |
|
| 116 |
0.0%★
|
86★ | 0.2% (1)★ |
|
|
| 117 |
0.0%★
|
89★ | 0.2% (1)★ |
|
|
| 118 |
Linux Foundation Community
organization
|
0.0%★
|
97★ | 0.2% (1)★ |
|
| 119 |
Open Source Awards
event
|
0.0%★
|
114★ | 0.2% (1)★ |
|
| 120 |
Open Source Observatory
organization
|
0.0%★
|
118★ | 0.2% (1)★ |
|
More Reports
View Aggregate Report (All 3 Questions)Frequently Asked Questions
What is this AI Mentions Report about?
This report analyzes how AI chatbots like Perplexity Sonar (with search) (latest), Anthropic Claude Sonnet (latest), OpenAI ChatGPT Latest, Google Gemini Flash (latest), X.AI Grok (latest) respond to questions related to Open Source Projects. It identifies which brands, products, and organizations are mentioned most frequently and measures their share of voice in AI responses.
What questions were analyzed in this report?
This report analyzed answers to 3 questions:
- "What are the best Open Source Projects options available today? Please provide a comprehensive overview including: the leading brands and products, top companies and service providers, recognized experts and thought leaders, promising startups and new market entrants, major industry events and conferences, active communities and forums, and influential publications and media covering this space." (view report)
- "If I'm looking to get into Open Source Projects, who and what should I know about? Include the most trusted brands, recommended products and services, reputable companies and providers, influential experts and reviewers to follow, helpful communities and resources, important events and conferences, notable startups disrupting the space, and key publications and media channels to stay informed." (view report)
- "What does the Open Sources Projects industry look like right now? Identify the dominant market leaders and brands, best products and services, key companies and providers, influential figures and thought leaders, emerging startups and trends, major conferences and events, active professional communities, and the top publications and media that cover this industry." (view report)
How many brands were analyzed in this report?
This report analyzed 120 unique brands mentioned across 5 AI models.
How many web sources were detected?
AI models cited 194 unique web sources (domains) when answering questions.
Which brands are mentioned most by AI models?
The top 3 most mentioned brands are GitHub (organization,product), Linux (product), Kubernetes (product), based on analysis of 5 AI model responses.
How many AI models were analyzed?
This report analyzed responses from 5 AI models: Perplexity Sonar (with search) (latest), Anthropic Claude Sonnet (latest), OpenAI ChatGPT Latest, Google Gemini Flash (latest), X.AI Grok (latest).
What does "Share of Voice" mean and how is it calculated?
Share of Voice (Voice %) measures brand prominence across AI models.
Formula: Share of Voice = Model Coverage × Quality Score
Where:
• Model Coverage = Sum of normalized weights for models mentioning the brand
• Quality Score = Prominence / Max Prominence in dataset
• Prominence = Mentions × (1 / log₂(Position + 1))
Model weights (based on Monthly Active Users):
• OpenAI ChatGPT Latest: 900M MAU (~54.1% weight)
• Google Gemini Flash (latest): 650M MAU (~39.1% weight)
• Perplexity Sonar (with search) (latest): 45M MAU (~2.7% weight)
• X.AI Grok (latest): 39M MAU (~2.3% weight)
• Anthropic Claude Sonnet (latest): 30M MAU (~1.8% weight)
Brands appearing in top positions across high-traffic models achieve higher Share of Voice.
Formula: Share of Voice = Model Coverage × Quality Score
Where:
• Model Coverage = Sum of normalized weights for models mentioning the brand
• Quality Score = Prominence / Max Prominence in dataset
• Prominence = Mentions × (1 / log₂(Position + 1))
Model weights (based on Monthly Active Users):
• OpenAI ChatGPT Latest: 900M MAU (~54.1% weight)
• Google Gemini Flash (latest): 650M MAU (~39.1% weight)
• Perplexity Sonar (with search) (latest): 45M MAU (~2.7% weight)
• X.AI Grok (latest): 39M MAU (~2.3% weight)
• Anthropic Claude Sonnet (latest): 30M MAU (~1.8% weight)
Brands appearing in top positions across high-traffic models achieve higher Share of Voice.