BerriAI/litellm - GitHub vs Plask

Side-by-side comparison · Updated October 2026

 BerriAI/litellm - GitHubBerriAI/litellm - GitHubPlaskPlask
DescriptionLiteLLM is an AI gateway and Python SDK from Berrie AI Incorporated, published in the BerriAI GitHub repository. The SDK provides a common interface for model calls inside Python applications. The proxy gateway centralizes access for a team, with virtual keys, model routing, spend tracking, budgets and an administration interface. The official documentation lists support for more than 100 model providers. Supported endpoints and features vary by integration, so verify your model’s streaming, tool-calling, image, audio or embedding requirements. The router supports retries, fallbacks and load balancing; observability integrations can send request data to tools such as Langfuse, LangSmith and OpenTelemetry. LiteLLM also provides an MCP gateway. It can connect upstream servers using Streamable HTTP, SSE or stdio, expose tools through a fixed gateway endpoint, and scope access by key, team or organization. This requires configuring the upstream servers and authentication; the gateway does not automatically grant access to third-party tools. Agent-to-agent integrations are documented separately. The open-source offering has no software license fee for self-hosting. Code outside the enterprise directory is MIT-licensed, while enterprise code has separate terms. Enterprise pricing is quoted by annual gateway request capacity, deployment architecture and support needs, rather than a per-token license charge. Model-provider charges and infrastructure costs still apply. Enterprise adds controls and support such as SSO, SCIM, audit logs and service-level agreements. Compare New API for another self-hosted gateway with provider-channel management and usage accounting. Evaluate a representative workload, inspect request logging and secret handling, test budget and failure behavior, and decide whether SDK integration or a shared gateway best fits your application.Plask Motion turns video into 3D animation through AI motion capture. Import authorized footage, extract motion, apply it to a 3D character, and adjust camera, lighting and rendering. It supports export workflows for tools such as Blender, Maya, Unity and Unreal; check the format and rig requirements of the destination application. The free tier lists a 15-second daily motion-capture allowance and 1 GB of storage. With monthly billing selected, Standard is $40 per month for 10 minutes of motion capture per month and 3 GB of storage. Pro is $140 per month for one hour per month and 10 GB. The annual view instead advertises monthly equivalents of $18 and $50, billed yearly. Those figures are not month-to-month prices. The product lists full-body and hand capture, multi-person workflows, video rendering and FBX, GLB and BVH exports. Test a short clip first: occlusion, camera movement, foot contact and rig compatibility can affect how much cleanup an animation needs. The paid plan cards advertise a seven-day trial; confirm eligibility, renewal billing and cancellation terms before starting it. At our September 12, 2026 review, Plask’s site displayed a notice about an “Error running AI motion capture” issue and said its team was working on a fix. Check the current notice and test your workflow before relying on it for a deadline. Krikey is a related option when an integrated avatar-video editor is more useful than a motion-extraction-first pipeline.
CategoryDeveloper ToolsMotion Capture
RatingNo reviewsNo reviews
PricingOpen SourceFreemium
Starting PriceN/AFree
Plans—
  • Freemium — Free
  • Standard — monthly billing — $40/mo
  • Pro — monthly billing — $140/mo
Use Cases
  • Developers
  • Enterprises
  • Startups
  • Educational Institutions
  • Game Developers
  • Filmmakers
  • VR Creators
  • Animation Studios
Tags
AI gatewayPython SDKLLM routingMCP gatewayvirtual keys
motion capture3D animationvideo to animationFBXretargeting
Features
Python SDK for direct application integration
Shared AI proxy gateway and administration UI
More than 100 documented model-provider integrations
Virtual keys, users, teams, budgets and rate limits
Spend tracking and observability integrations
Router retries, fallbacks and load balancing
MCP gateway for Streamable HTTP, SSE and stdio upstreams
Key, team and organization MCP permissions
Separate enterprise identity, audit and support features
Video-to-3D motion capture
Character import and motion retargeting workflow
Full-body, hand and multi-person capture options
Camera, lighting and render controls
FBX, GLB and BVH export workflows
Free daily and paid monthly motion allowances
 View BerriAI/litellm - GitHubView Plask

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