Repository intelligence

renovatebot/renovate

GitHub

An automated dependency update tool that automatically scans repositories for public and private dependency references and generates pull requests to update them when newer versions are available.

CLOUDM0N decision
Trust FAIL · 0/100
Good fit if

Software development teams wanting to automate package and dependency updates without manual tracking.

Watch out for

Review deployment and security evidence before production adoption.

Practical intelligence

What matters before you adopt it

Problem it solves

The manual effort, overhead, and time required to track, check, and update public and private codebase dependencies.

Best for
Software development teams wanting to automate package and dependency updates without manual tracking.
Organizations using popular git platforms like GitHub, GitLab, and Bitbucket who want automatic pull requests for newer dependency versions.
Main trade-offs
Review deployment and security evidence before production adoption.
Why it stands out
Automatically discovers relevant package files and references to public/private dependencies.
Generates and delivers update pull requests directly to the repository.
Provides useful metadata (such as age, adoption, pass rates, and merge confidence) to assist with update decisions.
Trust & CVEs

Security evidence without the noise

Trust remains a decision signal; CVEs and scanner evidence explain what is driving the risk.

Security findings
5
CLOUDM0N scanner findings
Critical
1
High
1
Medium
3
Low
0
View trust evidence & security findings
Why this score
No trust rationale was stored for this scan.
CLOUDM0N findings
CRITICAL
Private-key material appears to be committed in executable/config scope. 5 sample match(es) found.
HIGH
Container configuration requests host-level control or isolation bypass. 3 sample match(es) found.
MEDIUM
The project can spawn operating-system processes; review command construction and input handling. 5 sample match(es) found.
MEDIUM
Broad permission or elevated-command pattern detected. 1 sample match(es) found.
MEDIUM
1 lifecycle install script(s) require review.
Architecture from code17 modules · 73 edges
Structural evidence

Modules and dependency edges extracted from repository code. This is code evidence, not README inference.

Code files
2695
Modules
17
Dependency edges
73
Core modules
(root)
3 files
__mocks__
1 files
lib
library code
10 files
lib/config
configuration
214 files
lib/constants
5 files
lib/data
data ingestion / feeds
1 files
lib/instrumentation
13 files
lib/logger
23 files
lib/modules
1649 files
lib/types
13 files
lib/util
utility helpers
322 files
lib/workers
280 files
Dependency flow
(root)tools
liblib/config
liblib/instrumentation
liblib/logger
liblib/types
liblib/util
liblib/workers
lib/configlib
lib/configlib/constants
lib/configlib/instrumentation
lib/configlib/logger
lib/configlib/modules
lib/configlib/types
lib/configlib/util
Detected languages
TypeScript · JavaScript · Go · Python · Shell · Scala · Swift
Detected frameworks
Celery · Django · Requests · Vite · Vitest · Zod · esbuild
Architecture evidence details
flowchart TD
    %% renovate — high-level architecture (DRAFT, refine me)
    n0["(root) · 3 files"]
    n1["__mocks__ · 1 file"]
    n2["lib · library code · 10 files"]
    n3["lib/config · configuration · 214 files"]
    n4["lib/constants · 5 files"]
    n5["lib/data · data ingestion / feeds · 1 file"]
    n6["lib/instrumentation · 13 files"]
    n7["lib/logger · 23 files"]
    n8["lib/modules · 1649 files"]
    n9["lib/types · 13 files"]
    n10["lib/util · utility helpers · 322 files"]
    n11["lib/workers · 280 files"]
    n12["test · tests · 19 files"]
    n13["tools · tool implementations · 142 files"]
    n0 --> n13
    n2 --> n3
    n2 --> n6
    n2 --> n7
    n2 --> n9
    n2 --> n10
    n2 --> n11
    n3 --> n2
    n3 --> n4
    n3 --> n6
    n3 --> n7
    n3 --> n8
    n3 --> n9
    n3 --> n10
    n3 --> n11
    n4 --> n8
    n4 --> n11
    n5 --> n10
    n6 --> n2
    n6 --> n3
    n6 --> n7
    n6 --> n8
    n6 --> n10
    n6 --> n11
    n7 --> n2
    n7 --> n4
    n7 --> n10
    n8 --> n3
    n8 --> n4
    n8 --> n6
    n8 --> n7
    n8 --> n9
    n8 --> n10
    n8 --> n11
    n8 --> n12
    n9 --> n3
    n9 --> n4
    n9 --> n7
    n9 --> n10
    n9 --> n11
    n10 --> n2
    n10 --> n3
    n10 --> n4
    n10 --> n6
    n10 --> n7
    n10 --> n8
    n10 --> n9
    n10 --> n11
    n10 --> n12
    n11 --> n2
    n11 --> n3
    n11 --> n4
    n11 --> n6
    n11 --> n7
    n11 --> n8
    n11 --> n9
    n11 --> n10
    n11 --> n12
    n12 --> n0
    n12 --> n3
    n12 --> n7
    n12 --> n8
    n12 --> n10
    n12 --> n11
    n12 --> n13
    n13 --> n2
    n13 --> n3
    n13 --> n4
    n13 --> n7
    n13 --> n8
    n13 --> n9
    n13 --> n10
    n13 --> n11
    class n5 data
    class n3 infra
    class n2,n10,n13 shared
    class n12 test
    classDef data fill:#59a14f,color:#ffffff,stroke:#46803e
    classDef infra fill:#b35c00,color:#ffffff,stroke:#8f4a00
    classDef shared fill:#79706e,color:#ffffff,stroke:#5d5654
    classDef test fill:#499894,color:#ffffff,stroke:#397975
Evidence, security & integrations
Integrations
GitHubGitLabBitbucketAzure DevOpsAWS Code CommitGiteaForgejoGerrit
Security notes
Security-related bugs must be reported through the GitHub Security Advisories process.
Potential security findings can be discussed by emailing [email protected] before raising an advisory.
Still unknown
The README does not explicitly state trade-offs, operational limitations, or drawbacks, leaving the trade_offs array empty.
Specific command-line installation syntax, node or runtime version requirements, and configuration file structures are not provided in the text.
No detailed hardware, performance, scaling overhead, or execution limits are documented.
Adoption guidance
Adopt if
+ You want to automate the tracking and update process of your codebase dependencies across popular Git platforms.
+ Your repository uses any of the 90+ supported package managers and you want direct pull requests with merge confidence insights.
Avoid if
How it works & getting started
How it works
1.Renovate runs on a code repository and automatically discovers package files.
2.It scans the discovered files for public or private dependency references.
3.It checks package registries to identify if newer versions of those dependencies are available.
4.If newer versions exist, it automatically generates and delivers pull requests directly to the repository with the updates.
5.It displays decision assistance metadata (such as age, adoption, pass rates, and merge confidence) within the PRs.
Getting started
For GitHub Cloud: Install the Renovate Cloud-Hosted App on your GitHub organization, then select the repositories to enable.
For Bitbucket Cloud: Add the Mend App to your Workspace, then add the Mend Renovate user to the projects you want to enable.
For pipelines: Add the 'renovatebot/github-action' to your GitHub workflow or setup the Renovate Runner in your GitLab configuration.
Agent handoff
Use with any agent
JSON API
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