JetBrains / intellij-plugins

187	2684	1826	1796	1026	1117	1953	3094	2110	2109	2035	2185	1796	1865	1852	2056	291	446	219	51
23	145	126	102	90	97	110	97	84	70	59	63	57	53	50	40	29	28	15	9
2026	2025	2024	2023	2022	2021	2020	2019	2018	2017	2016	2015	2014	2013	2012	2011	2010	2009	2008	2007

	jenkins github actions circleci gitlab maven npm jest gradle bazel docker
Standard analyses:
		Main Code: 558,412 LOC (9711 files) = JAVA (56%) + KT (33%) + DART (1%) + FLEX (1%) + YAML (1%) + PROTO (1%) + XML (<1%) + HTML (<1%) + JS (<1%) + RB (<1%) + GO (<1%) + JADE (<1%) + TS (<1%) + PCSS (<1%) + KTS (<1%) + PRISMA (<1%) + CFC (<1%) + AS (<1%) + H (<1%) + TSX (<1%) + CPP (<1%) + SPEC (<1%) + CFML (<1%) + VUE (<1%) + LUA (<1%) + PUG (<1%) + AWK (<1%) + CFM (<1%) + MXML (<1%) + DDL (<1%) + ES6 (<1%) + CSS (<1%) + JSX (<1%) + SVELTE (<1%) + C (<1%) Secondary code: Test: 251,286 LOC (11471); Generated: 150,754 LOC (1499); Build & Deploy: 6,153 LOC (206); Other: 454,857 LOC (5364);
		File Size: 6% long (>1000 LOC), 63% short (<= 200 LOC)
		Logical Component Decomposition: primary (45 components)
		19 years, 3 months old 78% of code older than 365 days 58% of code not updated in the past 365 days
		6% 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: 4% long (>100 LOC), 58% short (<= 10 LOC)
		Conditional Complexity: 4% complex (McCabe index > 50), 65% simple (McCabe index <= 5)
		Static Component Dependencies: primary (45 components)

	Features of interest: TODOs 218 files

All Analysis Reports

Source Code Overview

Components

Temporal Dependencies

File Size

File Age & Freshness

File Change Frequency

Commits

Contributors

Unit Size*

Conditional Complexity*

Features of Interest

All Metrics

Goals & Controls

Duplication

Component Dependencies*

Trend

Notes & Findings

Overall Activity Per Year

Latest commit date: 2026-01-16

Reference analysis date: 2026-01-18

227

commits
(30 days)

30

contributors
(30 days)

187	2684	1826	1796	1026	1117	1953	3094	2110	2109	2035	2185	1796	1865	1852	2056	291	446	219	51
23	145	126	102	90	97	110	97	84	70	59	63	57	53	50	40	29	28	15	9
2026	2025	2024	2023	2022	2021	2020	2019	2018	2017	2016	2015	2014	2013	2012	2011	2010	2009	2008	2007

Activity Per File Extension

commits

	2026	2025	2024	2023	2022	2021	2020	2019	2018	2017	2016	2015	2014	2013	2012	2011	2010	2009	2008	2007	2006
	128	1705	1301	1202	464	425	877	1277	456	535	127	56	4	8								kt
	10	614	469	624	557	557	933	1589	1444	1397	1672	1879	1487	1607	1612	1614	258	376	178	38	10	java
	11	378	247	267	142	150	315	513	253	247	324	373	328	330	352	481	51	78	54	2		xml
	24	178	147	183	54	38	65	180	121	70	71	12		2	5							ts
	2	128	101	162	41	78	51	181	98	56	84	53	82	40	14	20	9	12	2			html
	13	105	58	46	34	29	50	92	91	81	85	52	69	47	8	18						js
		70	28	119	89	72	85	91	18	18												vue
	4	54	18	15	1		1	32	12	24	1	6	5			9						yaml
flex		30	26	61	7	3	28	49	19	37	59	22	27	28	10	2		4				flex
		24	13	15	8	3	19	111														kts
	4	11	5	6	6	14	59	37	14	4	5	14	19	10	5							rb
		14	2	3	3	2	1	22	11	1	11	15			2	9		2				css
jade		7						1														jade
pcss		7	4	4	1	1	4	27	7	5	96											pcss
		6	9	2																		tsx
		4	12	12	17	12	4	41	20	37	97	140	107	78	10							dart
		3						2														pug
svelte		3																				svelte
prisma		3	5	2	5																	prisma
as		3	5		2	2	5	36	19	15	19	24		7	125	363						as
		2	2	1			2	1				1										jsx
		2	1	2	1																	cpp
		2																				awk
lua		2																				lua
mxml		2	4	3		5	5	31	15	19	15	29		6	46	215						mxml
es6		1								2	2											es6
cfc		1										2		1								cfc
cfm		1									2											cfm
cfml		1	1					3	6	5	9	25	4	1								cfml
ddl		1							2	1												ddl
spec							2															spec
			1	2	1																	c
			1			1		1		1												go
			1	2	1																	h
proto			2			9																proto

contributors

	2026	2025	2024	2023	2022	2021	2020	2019	2018	2017	2016	2015	2014	2013	2012	2011	2010	2009	2008	2007	2006
	15	101	82	67	48	43	61	59	37	25	14	10	1	2								kt
	7	72	81	64	64	71	79	84	72	62	57	61	52	52	50	37	28	26	13	7	4	java
	7	54	49	34	30	31	41	49	34	30	28	30	32	28	26	29	14	13	6	1		xml
	2	24	9	2	1		1	6	4	1	1	4	3			2						yaml
	1	20	12	11	11	15	9	21	14	15	18	16	13	12	9	7	2	6	2			html
	4	15	9	10	7	9	6	14	12	9	13	10	11	3	2	3						js
	3	14	10	9	9	5	3	16	9	6	10	4		1	2							ts
		13	7	10	5	4	5	7	8	3												vue
flex		13	10	12	3	2	5	15	7	5	11	8	8	7	4	1		2				flex
		9	8	4	2	2	2	6														kts
		4	1	2	3	2	1	3	6	1	7	4			1	2		2				css
pcss		4	3	2	1	1	1	8	2	2	2											pcss
	1	2	1	1	3	3	5	9	5	1	2	6	5	1	1							rb
jade		3						1														jade
		2	3	1																		tsx
		2						2														pug
as		2	2		2	2	3	10	7	8	6	6		2	6	7						as
		2	2	1			2	1				1										jsx
		2	1	1	1																	cpp
		2																				awk
lua		2																				lua
mxml		2	2	3		3	4	9	7	10	5	8		2	3	6						mxml
		1	3	1	2	3	3	5	3	6	9	9	8	5	3							dart
svelte		1																				svelte
prisma		1	2	1	1																	prisma
es6		1								2	2											es6
cfc		1										2		1								cfc
cfm		1									2											cfm
cfml		1	1					1	2	3	5	2	3	1								cfml
ddl		1							2	1												ddl
spec							1															spec
			1	1	1																	c
			1			1		1		1												go
			1	2	1																	h
proto			2			1																proto

Visual Code Explorers

MAIN (9711)	Circles	Sunburst
TEST (11471)	Circles	Sunburst
BUILD AND DEPLOYMENT (206)	Circles	Sunburst
GENERATED (1499)	Circles	Sunburst
OTHER (5364)	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 (45)

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: JetBrains / intellij-plugins
- Repository Description: Open-source plugins included in the distribution of IntelliJ IDEA Ultimate and other IDEs based on the IntelliJ 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