.ml domains list

What is .ml TLD

The .ml top-level domain (TLD) is Mali’s country-code extension assigned under ISO 3166. In plain terms, .ml domains identify web addresses registered at the .ml suffix, while .ml websites are the live properties built on those names. In global practice, adoption spans Mali-based institutions and international projects leveraging the “ML” association with machine learning. We observe distribution across popular cloud hosts, mixed content types, and a long tail of experimental deployments. From a lifecycle perspective, registrations typically follow standard create–renew–transfer flows mediated by retail registrars, with pricing and terms set commercially. As a domain intelligence platform, we analyze label patterns, hosting geographies, and survival rates to benchmark performance against peer ccTLDs. Explore our .ml domain datasets on webatla.

History and key features of .ml TLD

Historically, the .ml namespace was delegated as part of the early ccTLD program and has since operated through arrangements between Mali’s stakeholders and technical partners. Key characteristics today include second‑level registrations, broad international accessibility through major registrars, and commercially driven pricing. In practice, .ml domains and associated .ml websites show heterogeneous purposes: local government and civil society, developer sandboxes, link shorteners, and machine‑learning community projects. At scale, we measure intermittent bursts of new registrations, noticeable parking shares, and renewal patterns that vary by cohort and use case. For risk assessment, we compare abuse signals, hosting volatility, and content longevity against regional benchmarks to contextualize resilience. Review our historical .ml domain datasets at webatla.

Why and who choose the .ml domain

Organizations select the .ml domain for two principal reasons: geographic identity with Mali and semantic alignment with “ML,” widely read as machine learning. In definition terms, .ml domains provide a short country‑code label; in context, .ml websites can target local audiences or global communities exploring data science. Our insight: suitability depends on brand strategy, search geotargeting expectations, and compliance with registry and registrar rules. We advise evaluating hosting locality, email authentication, and certificate issuance patterns to strengthen deliverability and trust. Teams in AI, research, nonprofits, and startups often test concepts on .ml before scaling elsewhere. Evaluate comparative metrics on .ml domain cohorts in webatla.