https://github.com/Piebald-AI/splitrail
Blazing fast, single-executable, cross-platform, agentic development monitor.
https://github.com/Piebald-AI/splitrail
agentic analyzer blazing-fast claude-code codex cross-platform gemini-cli rust splitrail usage
Last synced: 4 months ago
JSON representation
Blazing fast, single-executable, cross-platform, agentic development monitor.
- Host: GitHub
- URL: https://github.com/Piebald-AI/splitrail
- Owner: Piebald-AI
- License: mit
- Created: 2025-07-12T22:04:15.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2025-07-28T01:53:43.000Z (4 months ago)
- Last Synced: 2025-07-28T03:34:47.556Z (4 months ago)
- Topics: agentic, analyzer, blazing-fast, claude-code, codex, cross-platform, gemini-cli, rust, splitrail, usage
- Language: Rust
- Homepage: https://splitrail.dev
- Size: 995 KB
- Stars: 5
- Watchers: 1
- Forks: 0
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-gemini-cli - Splitrail - Comprehensive usage analytics platform that tracks and optimizes your Gemini CLI workflows, helping teams understand and improve their AI-assisted development patterns. (Development Tools & Utilities)
README
# Splitrail
Blazing fast, single-executable, cross-platform, agentic development monitor. Supports Claude Code, Gemini CLI, and Codex (and more coming soon), and integrates with the Splitrail Leaderboard. (`ccusage` equivalent for Gemini CLI and Codex, as well as Claude Code.)
> [!WARNING]
> While support for both Gemini CLI and Codex **is** implemented, neither tool currently implements the necessary functionality to make them work with Splitrail: Codex does not output enough information to its recorded chat files, and Gemini CLI does not automatically record conversation history at all. PRs are open for both, however: https://github.com/openai/codex/pull/1583 and https://github.com/google-gemini/gemini-cli/pull/4401. React with :+1: on them to encourage them to be merged!
The Splitrail CLI can automatically upload usage data to the [Splitrail Leaderboard.](https://splitrail.dev/leaderboard)
Also check out our developer-first agentic AI experience, [Piebald](https://piebald.ai/).
## Screenshots
### [Splitrail CLI](https://splitrail.dev)
### [Splitrail Leaderboard](https://splitrail.dev/leaderboard)
## Development
### Windows
On Windows, we use `lld-link.exe` from LLVM to significantly speed up compilation, so you'll need to install it to compile Splitrail. Example for `winget`:
```shell
winget install --id LLVM.LLVM
```
Then add it to your system PATH:
```cmd
:: Command prompt
setx /M PATH "%PATH%;C:\Program Files\LLVM\bin\"
set "PATH=%PATH%;C:\Program Files\LLVM\bin"
```
or
```pwsh
# PowerShell
setx /M PATH "$env:PATH;C:\Program Files\LLVM\bin\"
$env:PATH = "$env:PATH;C:\Program Files\LLVM\bin\"
```
Then use standard Cargo commands to build and run:
```shell
cargo run
```
### macOS/Linux
Build as normal:
```
cargo run
```
-----
© 2025 [Piebald LLC](https://piebald.ai). All rights reserved.