apache / cloudstack

317	910	818	870	905	1333	679	599	757	1107	2929	4309	6747	5183	6398	3498
42	53	59	65	58	65	60	77	101	97	134	157	177	116	51	36
2025	2024	2023	2022	2021	2020	2019	2018	2017	2016	2015	2014	2013	2012	2011	2010

	github actions maven npm jest nuget make docker
Standard analyses:
		Main Code: 997,552 LOC (7568 files) = JAVA (72%) + VUE (12%) + CS (4%) + SQL (2%) + PY (2%) + JS (2%) + XML (1%) + IN (<1%) + CFG (<1%) + CSS (<1%) + LESS (<1%) + SPEC (<1%) + XSL (<1%) + HTML (<1%) + ERB (<1%) + RB (<1%) + FTL (<1%) + SCSS (<1%) + JSP (<1%) Secondary code: Test: 446,816 LOC (1694); Generated: 244 LOC (2); Build & Deploy: 21,089 LOC (306); Other: 48,375 LOC (309);
		File Size: 30% long (>1000 LOC), 34% short (<= 200 LOC)
		Logical Component Decomposition: primary (22 components)
		14 years, 9 months old 96% of code older than 365 days 40% of code not updated in the past 365 days
		14% of code updated more than 50 times Also see temporal dependencies for files frequently changed in same commits.
		Goals: Keep the system simple and easy to change (4)
Experimental analyses (less reliable heuristic analyses):
		Unit Size: 7% long (>100 LOC), 54% short (<= 10 LOC)
		Conditional Complexity: 5% complex (McCabe index > 50), 61% simple (McCabe index <= 5)
		Static Component Dependencies: primary (22 components)

	Features of interest: TODOs 345 files

All Analysis Reports

Source Code Overview

Components

Temporal Dependencies

Duplication

File Size

File Age & Freshness

File Change Frequency

Commits

Contributors

Unit Size*

Conditional Complexity*

Features of Interest

All Metrics

Goals & Controls

Component Dependencies*

Trend

Notes & Findings

Overall Activity Per Year

Latest commit date: 2025-05-05

Reference analysis date: 2025-05-07

78

commits
(30 days)

21

contributors
(30 days)

317	910	818	870	905	1333	679	599	757	1107	2929	4309	6747	5183	6398	3498
42	53	59	65	58	65	60	77	101	97	134	157	177	116	51	36
2025	2024	2023	2022	2021	2020	2019	2018	2017	2016	2015	2014	2013	2012	2011	2010

Activity Per File Extension

commits

	2025	2024	2023	2022	2021	2020	2019	2018	2017	2016	2015	2014	2013	2012	2011	2010
	197	613	525	449	489	563	274	380	506	575	1644	2466	3508	2158	3769	1645	java
	93	248	206	271	301	454	162										vue
	59	138	101	107	137	301	219	90	94	135	213	479	1204	1476	1402	1300	js
	41	121	136	117	144	137	84	140	215	385	672	827	892	304	208	60	py
	24	73	65	59	36	40	39	40	59	79	97	211	523	324	681	201	sql
	17	78	68	85	58	56	44	57	79	103	149	233	1077	646	82	74	xml
spec	11	15	12	15	11	15	15	21	18	30	53	33	131	124	111	65	spec
in	10	10	8	5	14	9	14	23	12	14	49	75	452	275	237	144	in
cfg	1	5	3	1	2	2	1	6	12	10	18	41	118	54	2	11	cfg
	2	4	3	1	10	8	19	7	8	2	1	4	5	39	49	30	html
		4	1	1		2	12										scss
	1	1	2	3							10	48	38				cs
		1	3	1	3	12	30	15	14	13	38	62	233	220	160	217	css
		1	6	7	10	9	7										less
xsl		1	2	1	1		1			2	3	2	14	13			xsl
		1	1						7	3	16	51	43	12			rb
			1						2	9	61	77	141	222	457	826	jsp
			1								2		2	7			erb
									2				7	11		1	ftl

contributors

	2025	2024	2023	2022	2021	2020	2019	2018	2017	2016	2015	2014	2013	2012	2011	2010
	32	46	51	48	40	47	42	63	78	67	87	115	124	84	41	27	java
	21	26	32	29	29	14	10										vue
	18	19	26	21	24	22	36	23	33	27	35	43	59	48	20	17	js
	11	20	19	21	15	19	15	21	23	21	32	53	93	52	20	16	xml
	11	17	21	22	22	27	24	35	56	51	56	68	85	35	20	14	py
	9	19	21	21	13	14	13	14	26	19	28	50	66	46	34	22	sql
in	7	7	6	5	9	6	7	10	9	7	17	35	71	40	32	21	in
spec	5	6	4	10	6	9	8	9	10	7	13	17	31	24	16	16	spec
	2	4	3	1	3	5	12	4	6	1	1	3	4	14	10	11	html
cfg	1	3	3	1	2	2	1	4	3	3	11	17	30	20	2	7	cfg
		4	1	1		2	8										scss
	1	1	1	1							3	9	5				cs
		1	3	1	3	7	14	7	8	6	12	16	26	23	20	11	css
		1	5	4	3	3	2										less
xsl		1	1	1	1		1			2	1	1	9	9			xsl
		1	1						1	2	5	9	14	9			rb
			1						2	4	20	29	35	28	19	16	jsp
			1								2		2	3			erb
									2				5	9		1	ftl

Visual Code Explorers

MAIN (7568)	Circles	Sunburst
TEST (1694)	Circles	Sunburst
BUILD AND DEPLOYMENT (306)	Circles	Sunburst
GENERATED (2)	Circles	Sunburst
OTHER (309)	Circles	Sunburst

File Visualizations

File size views:

File age views:

	files grouped by age category files grouped by folder
	files grouped by freshness category files grouped by folder

File change frequency views:

Contributors per file views:

Contributor Visualizations

Contributor dependency views:

past 30 days: graphviz | 2D graph | 2D graph (with files) | 2D graph (with shared files only) | 3D graph | 3D graph (with files) | 3D graph (with shared files only)
past 3 months: graphviz | 2D graph | 2D graph (with files) | 2D graph (with shared files only) | 3D graph | 3D graph (with files) | 3D graph (with shared files only)
past 6 months: graphviz | 2D graph | 2D graph (with files) | 2D graph (with shared files only) | 3D graph | 3D graph (with files) | 3D graph (with shared files only)
past year: graphviz | 2D graph | 2D graph (with files) | 2D graph (with shared files only) | 3D graph | 3D graph (with files) | 3D graph (with shared files only)

Components and Dependencies Visualizations

Components

Temporal Dependencies

Duplication

Commits Racing Charts

30 days

3 months

6 months

PRIMARY (22)

Bubble Chart

Tree Map

graphviz

2D

3D

graphviz

2D

3D

graphviz

2D

3D

Duplication Graph

All Time

12 Months

File Dependencies Visualizations

Temporal dependencies among files:

past 30 days: graphviz | 2D graph | 2D graph (with commits) | 3D graph | 3D graph (with commits)
past 3 months: graphviz | 2D graph | 2D graph (with commits) | 3D graph | 3D graph (with commits)
past 6 months: graphviz | 2D graph | 2D graph (with commits) | 3D graph | 3D graph (with commits)

Units Visualizations

Unit size and conditional complexity views:

Lists of Files Per Scope

Analysis Results

CONFIGURATION: JSON
ALL ANALYSIS RESULTS: JSON
DUPLICATES: TXT | JSON
UNITS: TXT | JSON
CONTRIBUTORS: TXT | JSON
LOGICAL DECOMPOSITIONS: JSON
CONCERNS: JSON
CONTROLS: TXT
ALL METRICS: TXT

Zipped Files

GIT HISTORY: ZIP
ALL FILES IN ALL ANALYSIS SCOPES: ZIP

Generative AI tools, like ChatGPT or Gemini, can help you explore and discuss various aspects of source code repositories using simple prompts and file uploads. Sokrates provides you with curated data that you can use to analyze your source code further.

Example Prompt 1: Repository Evolution Analyzer (based on git history)

Try on: OpenAI ChatGPT | Claude.ai Chat | Google Gemini

Files to upload: git-history.zip

Prompt:

You are an experienced software architect tasked with analyzing Git commit history.
Context:
- Repository Name: apache / cloudstack
- Repository Description: Apache CloudStack is an opensource Infrastructure as a Service (IaaS) cloud computing platform
- Data Provided: A plain text file containing Git commit records. Source code is not available.
- Analysis Basis: Your analysis must be based solely on inferring context from the provided file paths, file names, file extensions, commit timestamps, and author information within the commit records.

Input Format:
The commit records are provided in the following format per line:
[YYYY-MM-DD] [author email] [commit hash] [file path changed]

Requested Insights:

Please analyze the provided commit history and generate a report covering the following sections:

1. Management Summary
- Provide a concise, high-level overview suitable for non-technical stakeholders.
- Summarize the repository's likely purpose, main development phases observed, and key takeaways about the team structure/activity.

2. Functional Overview
- Based only on file/module/class names, infer and describe the primary functions and capabilities of the software in this repository.
- What services or features does the codebase seem to support?

3. Key Business/Domain Concepts
- Identify and list core business or domain concepts reflected in the file and directory names (e.g., reporting, analytics, data export, user management, sourcecode analysis, landscape, visualization).

4. Inferred Architecture & Design
- Infer potential architectural patterns (e.g., modular, layered, microservices) based on directory structures and file naming conventions.
- Highlight notable design choices evident from the structure, such as separation of concerns (e.g., common module), use of configuration files, or templating engines.

5. Inferred Technology Stack
- List the programming languages, frameworks, libraries, and tools likely used, based on file extensions (.java, .py, .js, .html, .xml, .yml, pom.xml, dockerfile), configuration files, and common directory structures (e.g., /src/main/java).
- Categorize these technologies where possible (e.g., Backend, Frontend, Build, Infrastructure).

6. Logical Components / Modules
- Identify the major logical components or modules suggested by the directory structure (e.g., codeanalyzer, reports, cli, common, web).
- Briefly describe the inferred purpose of each major component.

7. Evolution by Year
- Summarize the apparent focus of development activity for each year present in the commit history.
- Assign a thematic title to each year (e.g., "Year 1: Foundation & Core Analysis", "Year 2: Reporting & Visualization Expansion").

8. Trends Over Time
Identify and describe significant trends observed across the years, such as:
- Shifts in technology usage (e.g., introduction of Docker).
- Changes in module activity (e.g., increased focus on landscape analysis).
- Signs of project maturity, expansion into new areas, or periods of focused maintenance.
9. Team Dynamics
- Analyze contributor patterns based on author emails and commit frequency:
 - Identify core maintainer(s) vs. occasional contributors.
 - Describe observable contribution trends (e.g., stable team, high turnover, reliance on a single developer).
 - Note any appearance of automated contributors (e.g., Dependabot).
10. Risk Analysis:
- Based on the findings in all previous sections (Team Dynamics, Technology, Architecture, Evolution), identify potential key risks for the project.
- Examples: Key person dependency, technology obsolescence, maintainability challenges due to complexity, potential scalability bottlenecks, bus factor.

Input File:
You will receive the commit records in a plain text file. Please parse this file to perform your analysis.

Example Prompt 2: File name conventions

Try on: OpenAI ChatGPT | Claude.ai Chat | Google Gemini

Files to upload: files.json

Prompt:

Example Prompt 3: Technology analyzer (based of file paths)

Try on: OpenAI ChatGPT | Claude.ai Chat | Google Gemini

Files to upload: files.json

Prompt:

Analyze the provided list of file paths to identify as many technologies, frameworks, tools, programming languages, cloud services, and architectural patterns used in the project as possible.

**Input:**
Please analyze the following list of file structures (provided as a list of strings or a JSON object containing file paths and optionally extensions/metadata):

*(Example: A JSON array like the one previously provided, or a simple list like `["src/server.ts", "Dockerfile", "tests/e2e/spec.cy.js", "infra/main.tf"]`)*

**Analysis Instructions:**
When performing the analysis, please consider the following:

1. **File Extensions:** Identify languages and configuration types (e.g., `.ts`, `.js`, `.py`, `.java`, `.tf`, `.yml`, `.hcl`, `.css`, `.html`).
2. **Directory Structure & Naming:** Look for conventional directory names (`src`, `tests`, `infra`, `docs`, `cicd`) and names indicating specific components or frameworks (`packages/bff`, `features`, `controllers`, `services`, `cypress`).
3. **Specific Filenames:** Identify standard configuration or definition files (e.g., `package.json`, `pom.xml`, `docker-compose.yml`, `Dockerfile`, `Jenkinsfile`, `webpack.config.js`, `tsconfig.json`, `requirements.txt`, `terragrunt.hcl`, `lint-staged.config.js`, `commitlint.config.js`).
4. **Keywords in Paths:** Look for names of known technologies, tools, frameworks, or cloud providers within the paths (e.g., `aws`, `azure`, `lambda`, `sqs`, `react`, `nest`, `k6`, `datadog`, `pm2`).

**Output:**
Please present the findings as a list of identified technologies. If possible, group them into relevant categories such as:

* Programming Languages
* Frameworks & Runtimes
* Testing Tools
* Infrastructure as Code / Cloud Providers
* Containerization & Orchestration
* Build Tools / Bundlers
* Databases (if identifiable)
* Monitoring & Logging
* CI/CD & Dev Tools
* Architectural Patterns