中文 | English
Trailer
Next-gen ML experiment tracking — a lightning-fast, open-source experiment tracker with a high-performance Rust core and a local-first philosophy.
The ultimate trailer for your deep learning experiments — combining TensorBoard's depth, Aim's fluidity, and W&B's ecosystem, powered by a Rust core.
Features
- ⚡ High-performance Rust core — LTTB downsampling, batched ingestion, 100k-entry ring buffer (P99 < 100µs)
- 📊 Every data type you need — scalars, text, figures, tables, media, histograms, embeddings, PCA, and model graphs
- 🚀 One-command local mode —
trailer upstarts the full dashboard — zero config, no HTTP overhead, data lands locally - 🔬 Cross-project Explore — line, scatter, and parallel-coordinates charts across runs — saved and shareable
- 🗄️ Flexible storage — SQLite (default), PostgreSQL, or TensorBoard-style file mode
- 👥 Multi-user & permissions — admin / experimenter roles, anonymous sharing links
- 🔍 Powerful Compare — progressive-loading comparison across runs
Screenshots
Quick start
pip install trailer-sdk
from trailer import Tracker
t = Tracker(project="my_experiment")
t.log({"train/loss": 0.5, "val/loss": 0.6})
t.finish()
Launch the dashboard:
trailer up # http://127.0.0.1:5120
Documentation
Full docs (English / 中文): https://limoncc.github.io/trailer/
License
Elastic License 2.0 — free for internal use; commercial hosting / SaaS requires a separate license. See LICENSING.md.
Metadata
Release files for trailer-sdk 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
| File | Reset | |||
|---|---|---|---|---|
| trailer_sdk-0.1.1-cp310-abi3-win_amd64.whl | CPython 3.10 | abi3 | Windows x86-64 | Details |
| trailer_sdk-0.1.1-cp310-abi3-manylinux_2_34_x86_64.whl | CPython 3.10 | abi3 | Linux glibc 2.34+ x86-64 | Details |
| trailer_sdk-0.1.1-cp310-abi3-manylinux_2_34_aarch64.whl | CPython 3.10 | abi3 | Linux glibc 2.34+ ARM64 | Details |
| trailer_sdk-0.1.1-cp310-abi3-macosx_11_0_arm64.whl | CPython 3.10 | abi3 | macOS 11.0+ ARM64 | Details |
Total release size: 33.8 MB
Release files / trailer_sdk-0.1.1-cp310-abi3-win_amd64.whl
| Download URL | trailer_sdk-0.1.1-cp310-abi3-win_amd64.whl |
|---|---|
| Size | 7.9 MB |
| Tags | CPython 3.10 Windows x86-64 abi3 |
|
SHA-256 checksum How to use checksums |
997a7716395d14f71c7a14089f2e7b5b8012b1d32158f6c9551c639e5f14e455
|
|
BLAKE2b-256 checksum How to use checksums |
704fa5f5919e9148458b6f4bb471615a8ac5f80f709fb98c8271b03bb79d520d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.12
|
Release files / trailer_sdk-0.1.1-cp310-abi3-manylinux_2_34_x86_64.whl
| Download URL | trailer_sdk-0.1.1-cp310-abi3-manylinux_2_34_x86_64.whl |
|---|---|
| Size | 8.9 MB |
| Tags | CPython 3.10 Linux glibc 2.34+ x86-64 abi3 |
|
SHA-256 checksum How to use checksums |
860c208aa108b97ffe16d8aa05bfbc6417bd959075b31567b1712772334189bd
|
|
BLAKE2b-256 checksum How to use checksums |
f556e38a5af35df43cd350fa009a1d56781da099f5d5cc06bcd9ac4bdb16dd17
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.12
|
Release files / trailer_sdk-0.1.1-cp310-abi3-manylinux_2_34_aarch64.whl
| Download URL | trailer_sdk-0.1.1-cp310-abi3-manylinux_2_34_aarch64.whl |
|---|---|
| Size | 8.9 MB |
| Tags | CPython 3.10 Linux glibc 2.34+ ARM64 abi3 |
|
SHA-256 checksum How to use checksums |
b57804d96e0085ae36b5b2d2b815346d49dc90d574c18198fddac107f6091fdf
|
|
BLAKE2b-256 checksum How to use checksums |
897c51b4f2e28e2efb9c5b871ce2925124d891529c2bd3695ff39fbb84f05438
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.12
|
Release files / trailer_sdk-0.1.1-cp310-abi3-macosx_11_0_arm64.whl
| Download URL | trailer_sdk-0.1.1-cp310-abi3-macosx_11_0_arm64.whl |
|---|---|
| Size | 8.1 MB |
| Tags | CPython 3.10 abi3 macOS 11.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
bc1cd8b4695425a9c037bf3b0aa2aefd4f06efe9de94aabf6dcfaa5174616512
|
|
BLAKE2b-256 checksum How to use checksums |
d1e6ab4d75ffd12fd8ffdc6f194a3d902e79beea70fd5556123d460d2ed99109
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.12
|