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SourcererCC

Free plan LinuxSelf-hosted

What SourcererCC is

SourcererCC is a free, open-source tool for finding similar code across large code bases and Internet-scale project repositories. Its token-based detector can compare files, methods, statements, or blocks. The project says it can handle any programming language when you configure the tokenizer’s language settings and file extensions. Source code must be tokenized first; SourcererCC includes a tokenizer for setting project paths and extensions. The default similarity threshold is 80%, and it can be changed. For file-level detection, the documented defaults skip files with fewer than 65 tokens or more than 500,000 tokens. A controller distributes detection across multiple nodes, after which results must be aggregated. The project offers a virtual machine artifact with preconfigured steps from source code to a database of clone mappings, and describes DéjàVu as a web tool for clone analysis. SourcererCC is licensed under GPL-3.0 and intended for Linux and self-hosted use. Its tutorial warns that tokenizer multiprocessing does not work on Macs with Python versions later than 3.6 and recommends avoiding Mac for this workflow.

Who it suits

SourcererCC suits teams or developers looking for code clones across repositories and able to prepare tokenized source. Its multi-node processing and configurable tokenizer may suit large or varied code collections.

What it does well

Detects clones at file, method, statement, or block level.
Configurable language settings and file extensions.
Similarity threshold can be changed from 80%.
Includes a virtual machine artifact for getting started.
Free and licensed under GPL-3.0.

What to know first

Source code must be tokenized before detection.
Defaults exclude files below 65 or above 500,000 tokens.
Mac multiprocessing requires Python 3.6, per the tutorial.
Detection work is split across nodes and results aggregated.

Limits

The documented file-level defaults ignore files below 65 tokens or above 500,000 tokens. The tokenizer's multiprocessing workflow on Mac requires Python 3.6 because later versions have incompatibilities.

Getting started

Use a Linux or self-hosted environment
Configure tokenizer language settings, comment syntax, file extensions, and project paths
Tokenize the source code
Set the similarity threshold if needed
Run detection through the controller and aggregate node results
Use the supplied virtual-machine artifact for a pre-programmed workflow

Verdict

SourcererCC offers configurable token-based clone detection across several code granularities. Plan for tokenization and multi-node result aggregation, and note the stated Mac limitation.

Questions

Is SourcererCC free?

Yes. It is free, open source, and licensed under GPL-3.0.

What platforms does it support?

SourcererCC is intended for Linux and self-hosted use. The project recommends avoiding Mac for the tokenizer multiprocessing workflow, which requires Python 3.6.

What code can it compare?

It detects clones between files, methods, statements, or blocks, and can be configured for any language through tokenizer settings and file extensions.

Does source code need preparation?

Yes. Source code must be tokenized first using configured project paths and file extensions.

What similarity threshold does it use?

The documented default threshold is 80% similarity, and it can be changed.

What is DéjàVu?

DéjàVu is described as a supporting web tool for quick and simple clone analysis.

Facts from SourcererCC's own pages

Detection scope: It can detect clones between files, methods, statements, or blocks, in any language. · github.com, 9 Oct 2026
DéjàVu: The project says SourcererCC supports DéjàVu, a large-scale study of code cloning on GitHub, and describes DéjàVu as a web tool for clone analysis. · github.com, 9 Oct 2026
File size bounds: The documented file-level clone detection configuration ignores files below 65 tokens or above 500000 tokens by default. · github.com, 4 Oct 2026
Getting started: The project provides a virtual machine with instructions and programs for processing source code into a database with clone mappings. · github.com, 9 Oct 2026
Granularity: It can detect clones between files, methods, statements, or blocks. · github.com, 4 Oct 2026
Input preparation: Source code must first be tokenized, and the documented tokenizer accepts configured file extensions and project paths. · github.com, 4 Oct 2026
Input size limits: The documented configuration ignores files below 65 tokens or above 500,000 tokens. · github.com, 9 Oct 2026
Languages: The tokenizer can be configured with language comment syntax and a list of file extensions to analyze. · github.com, 9 Oct 2026
Language support: The README says it can detect clones in any language, with tokenizer language settings and file extensions configured by the user. · github.com, 4 Oct 2026
License: The GitHub repository identifies its license as GPL-3.0. · github.com, 9 Oct 2026
Notable platform limit: The README says the tokenizer's multiprocessing features do not work on Macs with Python versions later than 3.6 and recommends avoiding Mac for this workflow. · github.com, 4 Oct 2026
Parallel processing: The tool splits clone detection across multiple nodes, whose output must be aggregated. · github.com, 9 Oct 2026
Platform limitation: The tutorial says the tokenizer requires Python 3.6 on Mac because later versions have multiprocessing incompatibilities. · github.com, 9 Oct 2026
Processing: Source code must be tokenized before SourcererCC runs, and the repository provides a tokenizer for that step. · github.com, 9 Oct 2026
Purpose: SourcererCC is a token-based code clone detector for very large code bases and Internet-scale project repositories. · github.com, 9 Oct 2026
Similarity threshold: The documented default flags clones at 80% similarity, and the threshold can be changed. · github.com, 9 Oct 2026
Support: The tutorial invites users to contact the team for technical help, including hardware performance tuning. · github.com, 9 Oct 2026
VM artifact: The project describes a virtual machine artifact with pre-programmed steps from raw source code to a database with clone mappings and says it is an easy way to get started. · github.com, 4 Oct 2026
Web tool: The README describes DéjàVu as a supporting web tool for quick and simple clone analysis. · github.com, 4 Oct 2026

Where SourcererCC stands on Freedom251

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