Compare Codacy and GitHub 
At a Glance
Market Segments
Small-Business (63.0% of reviews)
Small-Business (45.3% of reviews)
Entry-Level Pricing
Free
$0.00 1 users
Codacy
Star Rating
(28)4.6 out of 5
Market Segments
Small-Business (63.0% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Browse all 3 pricing plansGitHub
Star Rating
(2,309)4.7 out of 5
Market Segments
Small-Business (45.3% of reviews)
Pros & Cons
Entry-Level Pricing
$0.00 1 users
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that GitHub excels in overall user satisfaction, boasting a significantly higher G2 Score compared to Codacy. Users appreciate its robust features for version control and collaboration, highlighting tools like pull requests and branches that streamline team development.
- Users say that GitHub's extensive integration capabilities with CI/CD tools enhance its usability, making it a preferred choice for teams looking to optimize their development workflows. Reviewers specifically mention how these integrations facilitate smoother project management and deployment processes.
- According to verified reviews, Codacy shines in its ease of integration with existing code repositories, making it a user-friendly option for teams focused on code quality and security analysis. Users have noted the effectiveness of its quality gates and static code analyses in maintaining clean code.
- Reviewers mention that while Codacy offers a free entry-level price, GitHub's free tier also provides substantial value, especially for small businesses. However, GitHub's larger market presence and user base suggest a more established community for support and resources.
- Users highlight that GitHub's implementation process is generally quick and intuitive, with many praising the onboarding experience. In contrast, Codacy users have reported a positive experience with its support team, noting their responsiveness and helpfulness in resolving issues.
- G2 reviewers indicate that while Codacy has a smaller number of reviews, the feedback is largely positive, particularly regarding its security dashboard and vulnerability management features. However, GitHub's extensive user base and higher review count provide a more comprehensive view of its capabilities and user satisfaction.
Pricing
Entry-Level Pricing
Codacy
Open Source
Free
Unlimited free code scanning for open-source projects
- Unlimited lines of code in public projects
- Code quality and security scanning across 49 languages and frameworks
- 100% cloud-based analysis via Git - no server or build steps needed
GitHub
Free for Individuals and Organizations
$0.00
1 users
Basics for teams and developers
- Unlimited public/private repositories
- Unlimited collaborators
- 2,000 Actions minutes/month (Free for public repositories)
Free Trial
Codacy
Free Trial is available
GitHub
Free Trial is available
Ratings
Meets Requirements
8.9
19
9.3
1,997
Ease of Use
9.2
20
8.7
2,014
Ease of Setup
9.1
13
9.0
625
Ease of Admin
8.9
12
8.7
453
Quality of Support
9.2
14
8.7
1,596
Has the product been a good partner in doing business?
9.1
9
8.9
389
Product Direction (% positive)
8.3
20
8.9
1,948
Features by Category
Protect
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Feature Not Available
Not enough data
Execute
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Administration
Not enough data
8.9
138
Not enough data
9.0
145
Not enough data
8.6
138
Functionality
Not enough data
8.9
142
Not enough data
8.5
126
Not enough data
8.8
130
Not enough data
9.0
142
Not enough data
8.1
125
Processes
Not enough data
9.0
142
Not enough data
8.7
136
Not enough data
8.6
137
Administration
Not enough data
9.0
40
Not enough data
8.8
38
Analysis
Not enough data
8.4
39
Not enough data
8.7
42
Not enough data
8.6
39
Not enough data
8.8
44
Testing
Not enough data
9.1
40
Not enough data
8.2
34
Not enough data
8.4
36
Not enough data
8.5
33
Not enough data
8.3
32
Not enough data
8.6
33
Not enough data
8.0
32
Agentic AI - Static Application Security Testing (SAST)
Not enough data
Not enough data
Dynamic Application Security Testing (DAST)Hide 13 FeaturesShow 13 Features
Not enough data
Not enough data
Administration
Not enough data
Not enough data
Not enough data
Not enough data
Analysis
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Testing
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Administration
Not enough data
9.0
90
Not enough data
9.0
89
Not enough data
8.6
90
Not enough data
9.1
94
Automation
Not enough data
8.8
90
Not enough data
8.6
83
Not enough data
8.7
90
Not enough data
8.8
83
IT Management
Not enough data
8.9
93
Not enough data
8.8
84
Not enough data
8.7
79
Functionality
Not enough data
9.1
240
Not enough data
9.2
248
Not enough data
8.8
232
Management
Not enough data
9.0
240
Not enough data
8.4
226
Not enough data
9.0
244
Agentic AI - Continuous Delivery
Not enough data
9.0
23
Not enough data
8.7
22
Not enough data
8.5
20
Not enough data
8.7
22
Not enough data
8.7
22
Bug Reporting
Not enough data
8.9
186
Not enough data
8.8
181
Not enough data
9.0
185
Bug Monitoring
Not enough data
8.4
181
Not enough data
8.9
196
Not enough data
9.0
179
Agentic AI - Bug Tracking
Not enough data
9.0
18
Not enough data
8.9
18
Not enough data
8.6
18
Functionality - Software Composition Analysis
Not enough data
8.8
64
Not enough data
9.0
69
Not enough data
9.1
68
Effectiveness - Software Composition Analysis
Not enough data
8.7
66
Not enough data
9.0
69
Not enough data
8.8
67
Management
Not enough data
8.8
132
Not enough data
9.1
140
Not enough data
8.6
130
Functionality
Not enough data
8.8
138
Not enough data
8.9
133
Not enough data
8.6
127
Processes
Not enough data
8.9
133
Not enough data
8.8
127
Not enough data
9.1
139
Functionality
Not enough data
9.3
223
Not enough data
8.9
208
Not enough data
8.6
197
Management
Not enough data
8.8
217
Not enough data
8.8
212
Not enough data
8.2
202
Agentic AI - Continuous Integration
Not enough data
8.4
24
Not enough data
8.5
25
Not enough data
8.5
24
Not enough data
7.8
26
Not enough data
8.2
25
Documentation
Not enough data
8.7
176
Not enough data
8.7
170
Not enough data
8.5
162
Security
Not enough data
8.2
158
Not enough data
8.5
160
Not enough data
8.9
170
Generative AI
Not enough data
Not enough data
Agentic AI - Static Code Analysis
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Codacy and GitHub are categorized as Static Application Security Testing (SAST) and Software Composition Analysis
Unique Categories
Codacy is categorized as Application Shielding, Static Code Analysis, and Dynamic Application Security Testing (DAST)
Reviews
Reviewers' Company Size
Codacy
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
GitHub
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Computer Software
29.6%
Information Technology and Services
14.8%
Program Development
7.4%
Financial Services
7.4%
Security and Investigations
3.7%
Other
37.0%
Computer Software
32.0%
Information Technology and Services
22.6%
Internet
6.6%
Higher Education
3.4%
Financial Services
3.2%
Other
32.3%
Alternatives
Discussions
Codacy has no discussions with answers
What is GitHub used for?
8 Comments
MK
- store software source code
- use actions to execute CI / CD and publish artefacts / create releases
- lightweight software project managementRead more
What can GitHub be used for?
5 Comments
MS
It's a platform for version controlling. Where group of people collaborate each other and work on a single project. Read more
How is GitHub shaping the landscape of collaborative software development and version control?
4 Comments
HJ
Good Read more
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