Skip to content
Back to the index

neuranet-ai

PyPIInfrastructure

PulseGate's liveness check found it on 15 Sep 2026; it is registered on GitHub and PyPI and has been in the index since 15 Sep 2026. How this is checked

NeuraNet AI is an MIT-licensed Python package that analyzes network telemetry to troubleshoot issues and provide diagnostics. It is intended for developers and network operators building or running network monitoring workflows.

Inferred · not functionally tested

Open SourceMITCLISelf-hosted
Visit PyPI

Overview

5 features

Purpose: Diagnosing and troubleshooting network issues from telemetry and machine-learning analysis.

Inferred · not functionally tested

Audience: developers and network operators

Inferred · not functionally tested

Functions: analytics, data_extraction

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: MIT · 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.

neuranet-ai sits in PulseGate's Other dev tools category. Inferred · not functionally tested: It focuses on diagnosing and troubleshooting network issues from telemetry and machine-learning analysis. Inferred · not functionally tested: neuranet-ai is an open-source project aimed at developers and network operators. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: It runs on the command line, and it can be self-hosted.

Behind neuranet-ai is Aditya Mishra, and it first shipped in 2026. The project is developed in the open on GitHub with 7 commits in the last 90 days. Inferred · not functionally tested: Among its 5 catalogued features are network diagnostics, telemetry analysis, and issue troubleshooting.

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

Tasks: Inferred · not functionally tested

  • Network diagnostics
  • Telemetry analysis
  • Issue troubleshooting
  • Machine learning
  • Random forest analysis

Topics: Inferred · not functionally tested

Tags
network-diagnosticstelemetry-analysisrandom-foresttroubleshooting
AI capabilities
Structured
Inference: Local

JSON profile · Text profile · Access guide

Built with & integrations

Runs on
CLISelf-hosted

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceFree tierGitHubActive maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed15 Sep · 17:32 UTC
    neuranet-ai seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about neuranet-ai

What does neuranet-ai do?
Inferred · not functionally tested: Neuranet-ai focuses on diagnosing and troubleshooting network issues from telemetry and machine-learning analysis. It is catalogued under Other dev tools on PulseGate.
Who should use neuranet-ai?
Inferred · not functionally tested: neuranet-ai is an open-source project built for developers and network operators.
Does neuranet-ai have a free plan?
Basis unknown · not verified: Yes — neuranet-ai is open source under the MIT license and free to use.
What platforms does neuranet-ai run on?
Basis unknown · not verified: neuranet-ai runs on the command line. It can also be self-hosted.
Is neuranet-ai still maintained?
PulseGate's liveness check found it on 15 Sep 2026. Its GitHub repository shows 7 commits in the last 90 days.
Who makes neuranet-ai?
neuranet-ai is developed by Aditya Mishra.
When did neuranet-ai launch?
neuranet-ai first shipped in 2026.
Is neuranet-ai open source?
Basis unknown · not verified: Yes — neuranet-ai is open source under the MIT license, developed on GitHub.

Similar projects

Closest matches by what these projects do