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custmatch-server

PyPIInfrastructure

No liveness check has reached it yet; it is registered on GitHub and PyPI and has been in the index since 10 Oct 2026. How this is checked

custmatch-server is a self-hosted service for customer entity resolution and record linkage. It supports scheduled batch matching, real-time matching, and a steward dashboard for reviewing and managing master data.

Inferred · not functionally tested

Open SourceApache-2.0CLISelf-hostedAPIWeb
Visit PyPI
1star
6features
2026since

Overview

6 features

Purpose: Resolving duplicate and inconsistent customer records across data sources.

Inferred · not functionally tested

Audience: data engineers and data stewards

Inferred · not functionally tested

Functions: data_extraction, analytics

Inferred · not functionally tested

Interfaces: API: indicated (inferred, not tested) · 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, api_only, browser

Constraint provenance is unknown; confirm requirements with the publisher.

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

custmatch-server sits in PulseGate's Data integration & ETL category. Inferred · not functionally tested: It focuses on resolving duplicate and inconsistent customer records across data sources. Inferred · not functionally tested: custmatch-server is an open-source project aimed at data engineers and data stewards. Basis unknown · not verified: The project is open source (Apache-2.0). Basis unknown · not verified: It runs on the command line, API, and the web, and it can be self-hosted.

Andrew Goodchild builds and maintains custmatch-server, and it first shipped in 2026. The project is developed in the open on GitHub with 5 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include batch matching, real-time matching, and steward dashboard.

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

Tasks: Inferred · not functionally tested

  • Batch matching
  • Real-time matching
  • Steward dashboard
  • Entity resolution
  • Record linkage
  • Master data management

Topics: Inferred · not functionally tested

Tags
entity-resolutionrecord-linkagecustomer-datadata-stewardship

JSON profile · Text profile · Access guide

Built with & integrations

Written with
Claude Code
Runs on
CLISelf-hostedAPI-onlyBrowser
Written with — evidence
Claude Code
commit 80c70154740d · since Oct 2026

Trust & compliance

License
Apache-2.0
Public signals
HTTPSOpen SourceGitHub · ★ 1Active maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed10 Oct · 07:46 UTC
    custmatch-server seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about custmatch-server

What is custmatch-server?
Inferred · not functionally tested: Custmatch-server focuses on resolving duplicate and inconsistent customer records across data sources. It is catalogued under Data integration & ETL on PulseGate.
Who should use custmatch-server?
Inferred · not functionally tested: custmatch-server is an open-source project built for data engineers and data stewards.
Is custmatch-server free?
Basis unknown · not verified: Yes — custmatch-server is open source under the Apache-2.0 license and free to use.
What platforms does custmatch-server run on?
Basis unknown · not verified: custmatch-server runs on the command line, API, and the web. It can also be self-hosted.
Is custmatch-server still active?
The GitHub repository shows 5 commits in the last 90 days.
What projects are similar to custmatch-server?
Similar projects tracked by PulseGate include ExpoCards, singstat-sg, and sgd.ExpoCardssingstat-sgsgd
Who develops custmatch-server?
custmatch-server is developed by Andrew Goodchild.
How long has custmatch-server been around?
custmatch-server first shipped in 2026.

Also in Data integration & ETL

Same category — not a similarity match

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