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About

OpenLIT is an OpenTelemetry-native application observability tool. It's designed to make the integration process of observability into AI projects with just a single line of code. Whether you're working with popular LLM libraries such as OpenAI and HuggingFace. OpenLIT's native support makes adding it to your projects feel effortless and intuitive. Analyze LLM and GPU performance, and costs to achieve maximum efficiency and scalability. Streams data to let you visualize your data and make quick decisions and modifications. Ensures that data is processed quickly without affecting the performance of your application. OpenLIT UI helps you explore LLM costs, token consumption, performance indicators, and user interactions in a straightforward interface. Connect to popular observability systems with ease, including Datadog and Grafana Cloud, to export data automatically. OpenLIT ensures your applications are monitored seamlessly.

About

Sift is a unified observability platform purpose-built for modern, mission-critical hardware systems that provides engineers with infrastructure and tooling to ingest, store, normalize, and explore high-frequency, high-cardinality telemetry and event data from design, validation, manufacturing, and operations in a single source of truth rather than fragmented dashboards and scripts; it centralizes diverse data types, aligns signals across subsystems, and structures information for fast search, visual review, and traceability so teams can detect anomalies, perform root-cause analysis, automate verification and validation, and debug hardware with real-time precision. It supports automated data review, no-code visualization and querying of massive datasets, continuous anomaly detection, and integration with engineering workflows, including CI/CD pipelines and tooling, while enabling telemetry governance, collaboration, reporting, and knowledge capture across siloed teams.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Anyone looking for a solution to monitor LLMs and generative AI models

Audience

Engineering and operations teams building and running complex physical machines that want to ingest, store, analyze, and act on high-volume telemetry and event data

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

OpenLIT
India
openlit.io

Company Information

Sift
United States
www.siftstack.com

Alternatives

Logfire

Logfire

Pydantic

Alternatives

Sawmills

Sawmills

Sawmills.ai
Arize Phoenix

Arize Phoenix

Arize AI
Elastic APM

Elastic APM

Elastic

Categories

Categories

Integrations

Amazon Bedrock
Azure OpenAI Service
Claude
Datadog
ElevenLabs
Go
Grafana
Le Chat
Milvus
Ministral 3B
Mistral 7B
Mistral AI
Mistral NeMo
Mistral Small
Mixtral 8x22B
NVIDIA GPU-Optimized AMI
Pinecone
Pixtral Large
Prometheus
Qdrant

Integrations

Amazon Bedrock
Azure OpenAI Service
Claude
Datadog
ElevenLabs
Go
Grafana
Le Chat
Milvus
Ministral 3B
Mistral 7B
Mistral AI
Mistral NeMo
Mistral Small
Mixtral 8x22B
NVIDIA GPU-Optimized AMI
Pinecone
Pixtral Large
Prometheus
Qdrant
Claim OpenLIT and update features and information
Claim OpenLIT and update features and information
Claim Sift and update features and information
Claim Sift and update features and information