Neptune’s hosted app and API are permanently shut down; the shutdown notice says remaining hosted data was deleted.
Users cannot log new experiments, retrieve hosted runs, or recover data that remained in the service at shutdown.
Evidence source ↗N
Neptune.ai
Neptune.ai was a Python-based experiment-tracking and metadata platform for machine-learning teams. Its hosted service and API were shut down in March 2026.
5 key claims verifiedOur editorial team checked this profile against product documentation, company information, pricing information. Supported by 5 documented sources.
Editorial overview
Aggregated Overview
These scores reflect current usability, not historical product quality: Neptuneu2019s hosted app and API have been permanently shut down, so new users cannot access or evaluate the service.
This profile combines documented product information and independent evidence where available. It is not a hands-on test unless TechZella explicitly identifies one.
Overview
Neptune.ai was a software platform for tracking machine-learning experiments and associated metadata. Its Python packages supported logging and querying run information, while a web application provided access to projects and experiments.
Neptune’s hosted service shut down on March 5, 2026. The shutdown notice says hosted data left at that time was permanently deleted. The product is not available for new sign-ups or current use.
Neptune.ai Decision Snapshot
A quick way to understand who this product may suit, where its limits matter, and which facts are most relevant before you compare alternatives.
Best suited to
No longer suitable for new deployments. Former users may consult the archived transition materials to understand export and migration options, though the documented export deadline has passed.
Look elsewhere if
Any team needing an operational experiment tracker, hosted workspace, API, or recovery of data left on Neptune after shutdown, and should evaluate alternatives such as Weights & Biases instead.
Platforms
API, On-premises, Python, SaaS, Web
Neptune.ai — What Sets It Apart?
These are the product-specific differences that may matter when deciding whether the software fits your workflow. They are based on documented evidence rather than a universal ranking.
- Historically, Python client libraries and framework integrations logged run metadata, metrics, files, and model information to a shared workspace.
- The vendor documented a Neptune Exporter that could export run data as Parquet and load it into multiple listed destination platforms.
Neptune.ai Pros & Cons
Pros
- Historical documentation shows integrations with machine-learning libraries and development tools.
- The vendor documented a migration utility with Parquet export and multiple destination loaders.
Cons
- The service and API are discontinued.
- The shutdown notice says hosted data remaining at shutdown was permanently deleted and cannot be recovered.
- There is no current pricing, sign-up, or trial.
Neptune.ai Gotchas & Operational Limits
These are documented constraints or practical friction points that may matter before you adopt the product.
The Neptune transition hub states that the Helm and container image repositories were scheduled for deletion on March 8, 2026.
Teams cannot assume they can install or restore the former self-hosted service using those vendor-hosted artifacts.
Evidence source ↗Pricing
Neptune.ai has no current plans, trial, or purchasable subscription because its service was discontinued. The transition hub stated that new sign-ups and trials were closed during the transition period and that hosted service ended March 5, 2026. No current official pricing is available.
Neptune.ai Competitors & Alternatives
Compare similar products directly, then see which alternatives may make more sense when your requirements differ.
At a glance
Developer Tools| Decision factor | Neptune.ai | Weights & Biases | MLflow |
|---|---|---|---|
| Core scope | Neptune historically tracked machine-learning runs and metadata; the service is discontinued. | W&B currently lists experiment tracking as part of its AI developer platform. Source ↗ | MLflow Tracking documents run logging, parameters, metrics, artifacts, and a UI for exploring experiments. Source ↗ |
| Deployment model | Neptune historically offered SaaS and self-hosted service; both are discontinued. | W&B lists cloud-hosted and privately hosted deployment options. Source ↗ | MLflow documents local and remote tracking-server configurations with selectable backend and artifact stores. Source ↗ |
| Pricing model | No current Neptune pricing or purchase is available because the service has ended. | W&B lists Free, Pro, and Enterprise options; the Pro plan starts at $60 per month on the referenced pricing page. Source ↗ | The cited MLflow tracking documentation describes the open-source software and deployment options; it does not present a vendor subscription price. Source ↗ |
Only factors supported by the available research are shown. The comparison is descriptive, not a ranking.
Direct competitors
These products address broadly similar requirements. The descriptions focus on documented reasons a buyer might compare them with Neptune.ai.
Neptune.ai Features
Historical experiment tracking
- Python API for logging experiment metadata
- Query API for fetching recorded metadata
- Framework integrations implemented as loggers or callbacks
- Browser interface for projects and experiment data
Historical migration support
- Neptune Exporter command-line tool
- Parquet export format
- Documented loaders for MLflow, Weights & Biases, Comet, ZenML, Lightning AI, Minfx.ai, and GoodSeed
Neptune.ai Specifications
| Current service status | Discontinued; hosted service shutdown March 5, 2026 |
|---|---|
| Historical API | Python logging and query packages |
| Historical deployment | Hosted SaaS and self-hosted offerings |
| Historical data export | Neptune Exporter; Parquet format |
Deployment & System Footprint
Verified installation, hosting, administration, or environment details that can affect implementation.
| Historical hosting options | The transition hub described a hosted SaaS service and a self-hosted customer offering. Neptune is now discontinued. Source ↗ |
|---|
Migration & Lock-In
Documented portability, standards, export, or switching considerations. No switching-cost score is shown unless the evidence supports one.
Export format and destinations
The Neptune Exporter documentation describes exporting runs to Parquet and loading them into MLflow, Weights & Biases, Comet, ZenML, Lightning AI, Minfx.ai, or GoodSeed. Neptune’s stated service shutdown date has passed.
Evidence source ↗Recovery after shutdown
The shutdown notice says hosted data remaining at shutdown was permanently deleted, with no recovery or export path afterward.
Evidence source ↗Editorial transparency
Our Review Methodology
Key claims are linked to the sources used to verify them. This evidence record is separate from third-party user ratings.
TechZella evaluates software using documented product capabilities, pricing information, usability and value considerations, independent user evidence where available, and competitive context. The assessment is an editorial review, not a hands-on test unless one is explicitly identified. Our editorial assessment is based on 5 documented sources.
What TechZella adds
- Historically, Python client libraries and framework integrations logged run metadata, metrics, files, and model information to a shared workspace.
- The vendor documented a Neptune Exporter that could export run data as Parquet and load it into multiple listed destination platforms.
Important limitations
- The Neptune hosted app, API, and SDK access were discontinued on March 5, 2026.
- The shutdown notice says remaining hosted data was permanently deleted and cannot be recovered.
- Neptune's transition documentation said container images and the Helm repository would be removed on March 8, 2026.
Evidence-backed claimsNeptune's hosted SaaS service was discontinued on March 5, 2026. The shutdown notice states that hosted data remaining at shutdown was permanently deleted and cannot be recovered. Neptune Exporter supports Parquet exports and multiple migration destinations. OpenAI announced a definitive agreement to acquire Neptune on December 3, 2025. Neptune’s historical Python API used separate packages for logging and querying metadata.
The transition hub identifies March 5, 2026 as the hosted service shutdown date.
View source ↗Verified 2026-11-11The support article describes permanent deletion and states that there is no recovery or export path after shutdown.
View source ↗Verified 2026-11-11The migration overview lists Parquet export and destination loaders including MLflow, Weights & Biases, Comet, ZenML, Lightning AI, Minfx.ai, and GoodSeed.
View source ↗Verified 2026-11-11OpenAI’s announcement is dated December 3, 2025 and describes the acquisition agreement.
View source ↗Verified 2026-11-11The API overview identifies neptune-scale for logging and neptune-query for fetching metadata.
View source ↗Verified 2026-11-11Neptune.ai FAQs
Answers begin with the clearest available response, followed by the context that helps you act on it.
Is Neptune.ai still available?
No. Neptune’s hosted service and API shut down on March 5, 2026.
Can new users sign up for Neptune.ai or start a trial?
No. Neptune’s transition hub says new sign-ups and trials were closed.
Can I recover Neptune data after the shutdown?
No. The shutdown notice says remaining hosted data was permanently deleted and cannot be recovered.
Could Neptune data be exported to another experiment tracker?
Neptune documented an exporter for Parquet and loaders for several destinations, but its stated shutdown date has passed. The support notice says hosted data left at shutdown cannot be exported afterward.
Who acquired Neptune.ai?
OpenAI announced a definitive acquisition agreement on December 3, 2025. Neptune’s transition documentation subsequently described the shutdown process following the acquisition.
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