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
- 🏔️ Loss landscape visualization — filter-normalized 2D loss surfaces as heatmap / contour / interactive 3D, with training-evolution playback, log/linear color scale and a gradient-descent ball animation
- 🚀 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.
1 maintainer
Metadata
1 maintainer
Release files for trailer-sdk 0.1.17
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-0.1.17-cp310-abi3-win_amd64.whl | CPython 3.10 | abi3 | Windows x86-64 | Details |
| trailer_sdk-0.1.17-cp310-abi3-manylinux_2_34_x86_64.whl | CPython 3.10 | abi3 | Linux glibc 2.34+ x86-64 | Details |
| trailer_sdk-0.1.17-cp310-abi3-manylinux_2_34_aarch64.whl | CPython 3.10 | abi3 | Linux glibc 2.34+ ARM64 | Details |
| trailer_sdk-0.1.17-cp310-abi3-macosx_11_0_arm64.whl | CPython 3.10 | abi3 | macOS 11.0+ ARM64 | Details |
Total release size: 36.6 MB
Release files / trailer_sdk-0.1.17-cp310-abi3-win_amd64.whl
| Download URL | trailer_sdk-0.1.17-cp310-abi3-win_amd64.whl |
|---|---|
| Size | 8.6 MB |
| Tags | CPython 3.10 Windows x86-64 abi3 |
|
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| 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-0.1.17-cp310-abi3-manylinux_2_34_x86_64.whl
| Download URL | trailer_sdk-0.1.17-cp310-abi3-manylinux_2_34_x86_64.whl |
|---|---|
| Size | 9.6 MB |
| Tags | CPython 3.10 Linux glibc 2.34+ x86-64 abi3 |
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| 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-0.1.17-cp310-abi3-manylinux_2_34_aarch64.whl
| Download URL | trailer_sdk-0.1.17-cp310-abi3-manylinux_2_34_aarch64.whl |
|---|---|
| Size | 9.6 MB |
| Tags | CPython 3.10 Linux glibc 2.34+ ARM64 abi3 |
|
SHA-256 checksum How to use checksums |
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| 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-0.1.17-cp310-abi3-macosx_11_0_arm64.whl
| Download URL | trailer_sdk-0.1.17-cp310-abi3-macosx_11_0_arm64.whl |
|---|---|
| Size | 8.8 MB |
| Tags | CPython 3.10 abi3 macOS 11.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.12
|
