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Attio vs Django-crm

Choose Django-crm when infrastructure control, source-level Python/Django customization, and conventional CRM, task, email-marketing, and analytics functions matter more than Attio’s configurable data model and AI-centered revenue tooling. Choose Attio when you need native enrichment, workflow agents, AI search and actions, personalized sequences, call intelligence, or broader developer-platform capabilities; thoseِں

Attio versus Django-crm comparison

Decision guide

The practical reasons to choose either option, based on documented capabilities.

Choose Django-crm if

  • Teams that must self-host CRM data on their own server or cloud platform
  • Python/Django teams prepared to customize and maintain CRM business logic in source
  • Small or midsize organizations managing leads, contacts, deals, tasks, projects, email campaigns, and basic sales analytics in one system

Stay with Attio if

  • You depend on Attio’s custom objects, attributes, associations, or kanban-style configurable model; equivalent end-user modeling is not documented for Django-crm
  • You require AI-assisted research, record updates, scoring, routing, briefs, or follow-up drafting; these capabilities are not documented for Django-crm
  • You need call recording, transcription, summarization, or buying-signal extraction; Django-crm documents VoIP callback support, not call intelligence parity require Attio’s product, billing, calendar, and customer-dataor
Deployment and operations

Django-crm is self-hostable and released under AGPL-3.0. It runs as a standard Django project; SQLite is supported for evaluation, while documented production-compatible components include Python 3.12+, Django 6.0+, MySQL 8.0.11+, and PostgreSQL 14+. A Django 5.2.11 LTS-compatible branch is also identified. Installation documentation is community-maintained. The supplied facts do not document Docker or Kubernetes packaging, so operators should plan for a conventional Django deployment and their

Migration considerations

Django-crm documents Excel import/export, which may provide a tabular transfer path for records. No supplied source documents a dedicated Attio importer, schema mapping, automation conversion, or compatibility with Attio’s custom objects and associations, so those elements would require separate migration planning.

Feature fit

What Django-crm covers

  • Lead, contact, company, and deal records
  • Sales pipeline and forecasting
  • Email-linked CRM correspondence
  • Outbound email campaigns
  • Role-based data access
  • Sales analytics and funnel reports
  • Search, filtering, and sorting
  • Extensibility and third-party integration

What’s different or missing

  • No documented AI CRM search or actions
  • No documented enrichment and routing agents
  • No documented call transcription or intelligence
  • No documented Attio-style custom-object builder
  • No documented product, billing, and calendar context synchronization
  • No documented MCP server or TypeScript App SDK
  • No documented Attio migration tooling

Project snapshot

GitHub stars
610
Contributors
42
Language
Python
Last commit
Aug 15, 2026
Latest release
May 16, 2026

Categories: Workflow Automation, Customer Relationship Management, Business Intelligence, Data Integration

Sources and editorial review13 linked sources

Reviewed by Kris

Reviewed

Updated

Public documentation supports this comparison. Automation assists collection and classification; editorial standards and corrections remain the responsibility of Kris.

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