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dlboard-server

PyPIInfrastructure

PulseGate's liveness check found it on 7 Oct 2026; it is registered on GitHub and PyPI and has been in the index since 7 Oct 2026. How this is checked

dlboard-server is an Apache-2.0 Python package that provides the server-side Dash application, storage and authentication plugins, and the dlboard command-line interface. It is intended for machine-learning teams tracking and reviewing experiments in self-hosted workflows.

Inferred · not functionally tested

Open SourceApache-2.0CLISelf-hosted
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Overview

5 features

Purpose: Tracking and reviewing machine-learning experiments without building a dashboard and storage layer from scratch.

Inferred · not functionally tested

Audience: machine-learning engineers and researchers

Inferred · not functionally tested

Functions: analytics

Inferred · not functionally tested

Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: Apache-2.0 · platforms: CLI · deployment: cli, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: pypi.org · github.com. These links do not verify the individual claims.

dlboard-server sits in PulseGate's Other data science & ML category. Inferred · not functionally tested: It focuses on tracking and reviewing machine-learning experiments without building a dashboard and storage layer from scratch. Inferred · not functionally tested: It is built as an open-source project for machine-learning engineers and researchers. Basis unknown · not verified: dlboard-server is open source under the Apache-2.0 license. Basis unknown · not verified: It ships for the command line, and it can be self-hosted.

Behind dlboard-server is dlangerm, and it first shipped in 2026. Inferred · not functionally tested: Among its 5 catalogued features are dash dashboard, experiment tracking, and storage plugins.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Dash dashboard
  • Experiment tracking
  • Storage plugins
  • Authentication plugins
  • CLI

Topics: Inferred · not functionally tested

Tags
experiment-trackingmlops-dashboarddash-appmachine-learning

JSON profile · Text profile · Access guide

Built with & integrations

Runs on
CLISelf-hosted

Trust & compliance

License
Apache-2.0
Public signals
HTTPSOpen SourceFree tierGitHub

Indexing history

3

What PulseGate has recorded for this listing

  1. Indexed8 Oct · 01:03 UTC
    dlboard seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  2. Indexed7 Oct · 13:02 UTC
    dlboard-server seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open
  3. Indexed7 Oct · 13:02 UTC
    dlboard seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about dlboard-server

What does dlboard-server do?
Inferred · not functionally tested: Dlboard-server focuses on tracking and reviewing machine-learning experiments without building a dashboard and storage layer from scratch. It is catalogued under Other data science & ML on PulseGate.
Who should use dlboard-server?
Inferred · not functionally tested: dlboard-server is an open-source project built for machine-learning engineers and researchers.
Is dlboard-server free?
Basis unknown · not verified: Yes — dlboard-server is open source under the Apache-2.0 license and free to use.
What platforms does dlboard-server run on?
Basis unknown · not verified: dlboard-server runs on the command line. It can also be self-hosted.
Is dlboard-server still active?
PulseGate's liveness check found it on 7 Oct 2026.
What are alternatives to dlboard-server?
Similar projects tracked by PulseGate include SciStack Pipeline GUI, DatumLab, and mathsteps.SciStack Pipeline GUIDatumLabmathsteps
Who develops dlboard-server?
dlboard-server is developed by dlangerm.
How long has dlboard-server been around?
dlboard-server first shipped in 2026.

Also in Other data science & ML

Same category — not a similarity match