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CodeRL

salesforce/CodeRL

CodeRL: Combines pretrained models and reinforcement learning for code generation.

GraphCanon updated Oct 7, 2026 · GitHub synced Oct 7, 2026

64views this month

576 stars69 forksLast push Jun 2, 2026 Python BSD-3-Clause

Decision brief

CodeRL is an advanced tool that uses pretrained models and deep reinforcement learning to generate code.

Good fit when

  • When you need to generate complex and context-aware code snippets utilizing the latest in reinforcement learning techniques.
  • For projects where integration with Hugging Face's transformers library version 4.16.1 is desirable.

Avoid when

  • Avoid if your project requires only simple, quick code generation without deep reinforcement learning support.
  • Do not use if compatibility with versions of the Hugging Face transformers library other than 4.16.1 is critical to avoid potential issues.

Observed Jul 17, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Slowing (126d since push)
As of Oct 7, 2026
Provenance
Not a fork · Organization account
As of Oct 7, 2026
Security (OSV)
29 low (29 low)
As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install CodeRL
PyPI

Similar tools

Same-category neighbours. No typed graph edges are catalogued for this tool yet.

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Official implementation of CodeRL, which uses deep reinforcement learning with pretrained language models to master code generation tasks. Built on top of Hugging Face's transformers library version 4.16.1.

Capability facts

Languages
python

Source: github.language · Oct 7, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Oct 7, 2026)

`pip install -r requirements.txt`
Source link

Tags

README

Installation The code requires some dependencies as specified in . Please follow the relevant libraries to install or run: Install the library from the source code (the current source code is developed from the original code of version 4.16.1): License The code is released under...

For agents

This page has a .md twin and JSON over the API.

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