Alternatives to Foxglove
Compare Foxglove alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Foxglove in 2026. Compare features, ratings, user reviews, pricing, and more from Foxglove competitors and alternatives in order to make an informed decision for your business.
-
1
New Relic
New Relic
There are an estimated 25 million engineers in the world across dozens of distinct functions. As every company becomes a software company, engineers are using New Relic to gather real-time insights and trending data about the performance of their software so they can be more resilient and deliver exceptional customer experiences. Only New Relic provides an all-in-one platform that is built and sold as a unified experience. With New Relic, customers get access to a secure telemetry cloud for all metrics, events, logs, and traces; powerful full-stack analysis tools; and simple, transparent usage-based pricing with only 2 key metrics. New Relic has also curated one of the industry’s largest ecosystems of open source integrations, making it easy for every engineer to get started with observability and use New Relic alongside their other favorite applications. -
2
Cloudflare
Cloudflare
Cloudflare is the foundation for your infrastructure, applications, and teams. Cloudflare secures and ensures the reliability of your external-facing resources such as websites, APIs, and applications. It protects your internal resources such as behind-the-firewall applications, teams, and devices. And it is your platform for developing globally scalable applications. Your website, APIs, and applications are your key channels for doing business with your customers and suppliers. As more and more shift online, ensuring these resources are secure, performant and reliable is a business imperative. Cloudflare for Infrastructure is a complete solution to enable this for anything connected to the Internet. Behind-the-firewall applications and devices are foundational to the work of your internal teams. The recent surge in remote work is testing the limits of many organizations’ VPN and other hardware solutions. -
3
Dynatrace
Dynatrace
The Dynatrace software intelligence platform. Transform faster with unparalleled observability, automation, and intelligence in one platform. Leave the bag of tools behind, with one platform to automate your dynamic multicloud and align multiple teams. Spark collaboration between biz, dev, and ops with the broadest set of purpose-built use cases in one place. Harness and unify even the most complex dynamic multiclouds, with out-of-the box support for all major cloud platforms and technologies. Get a broader view of your environment. One that includes metrics, logs, and traces, as well as a full topological model with distributed tracing, code-level detail, entity relationships, and even user experience and behavioral data – all in context. Weave Dynatrace’s open API into your existing ecosystem to drive automation in everything from development and releases to cloud ops and business processes.Starting Price: $11 per month -
4
Splunk Enterprise
Cisco
Splunk Enterprise is a powerful platform that turns data into actionable insights across security, IT, and business operations. It enables organizations to search, analyze, and visualize data from virtually any source, providing a unified view across edge, cloud, and hybrid environments. With real-time monitoring, alerts, and dashboards, teams can detect issues quickly and act decisively. Splunk AI and machine learning features predict problems before they happen, improving resilience and decision-making. The platform scales to handle terabytes of data and integrates with thousands of apps, making it a flexible solution for enterprises of all sizes. Trusted by leading organizations worldwide, Splunk helps teams move from visibility to action. -
5
Google Cloud Observability
Google
Google Cloud Observability offers a set of powerful services that help you monitor and understand the behavior, health, and performance of your applications. By analyzing telemetry data, including metrics, logs, and traces, the platform helps you identify and respond to issues quickly, improving application reliability and availability. Google Cloud's observability tools provide in-depth analytics and insights to ensure your applications perform optimally, offering proactive issue detection, troubleshooting, and debugging capabilities. Whether you're managing cloud services or third-party applications, Google Cloud's observability features enable you to maintain a comprehensive view of your systems. -
6
Langfuse
Langfuse
Langfuse is an open source LLM engineering platform to help teams collaboratively debug, analyze and iterate on their LLM Applications. Observability: Instrument your app and start ingesting traces to Langfuse Langfuse UI: Inspect and debug complex logs and user sessions Prompts: Manage, version and deploy prompts from within Langfuse Analytics: Track metrics (LLM cost, latency, quality) and gain insights from dashboards & data exports Evals: Collect and calculate scores for your LLM completions Experiments: Track and test app behavior before deploying a new version Why Langfuse? - Open source - Model and framework agnostic - Built for production - Incrementally adoptable - start with a single LLM call or integration, then expand to full tracing of complex chains/agents - Use GET API to build downstream use cases and export dataStarting Price: $29/month -
7
Arize AI
Arize AI
Automatically discover issues, diagnose problems, and improve models with Arize’s machine learning observability platform. Machine learning systems address mission critical needs for businesses and their customers every day, yet often fail to perform in the real world. Arize is an end-to-end observability platform to accelerate detecting and resolving issues for your AI models at large. Seamlessly enable observability for any model, from any platform, in any environment. Lightweight SDKs to send training, validation, and production datasets. Link real-time or delayed ground truth to predictions. Gain foresight and confidence that your models will perform as expected once deployed. Proactively catch any performance degradation, data/prediction drift, and quality issues before they spiral. Reduce the time to resolution (MTTR) for even the most complex models with flexible, easy-to-use tools for root cause analysis.Starting Price: $50/month -
8
OpenLIT
OpenLIT
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.Starting Price: Free -
9
Logfire
Pydantic
Pydantic Logfire is an observability platform designed to simplify monitoring for Python applications by transforming logs into actionable insights. It provides performance insights, tracing, and visibility into application behavior, including request headers, body, and the full trace of execution. Pydantic Logfire integrates with popular libraries and is built on top of OpenTelemetry, making it easier to use while retaining the flexibility of OpenTelemetry's features. Developers can instrument their apps with structured data, and query-ready Python objects, and gain real-time insights through visualizations, dashboards, and alerts. Logfire also supports manual tracing, context logging, and exception capturing, providing a modern logging interface. It is tailored for developers seeking a streamlined, effective observability tool with out-of-the-box integrations and ease of use.Starting Price: $2 per month -
10
Langtrace
Langtrace
Langtrace is an open source observability tool that collects and analyzes traces and metrics to help you improve your LLM apps. Langtrace ensures the highest level of security. Our cloud platform is SOC 2 Type II certified, ensuring top-tier protection for your data. Supports popular LLMs, frameworks, and vector databases. Langtrace can be self-hosted and supports OpenTelemetry standard traces, which can be ingested by any observability tool of your choice, resulting in no vendor lock-in. Get visibility and insights into your entire ML pipeline, whether it is a RAG or a fine-tuned model with traces and logs that cut across the framework, vectorDB, and LLM requests. Annotate and create golden datasets with traced LLM interactions, and use them to continuously test and enhance your AI applications. Langtrace includes built-in heuristic, statistical, and model-based evaluations to support this process.Starting Price: Free -
11
Dash0
Dash0
Dash0 is an OpenTelemetry-native observability platform that unifies metrics, logs, traces, and resources into one intuitive interface, enabling fast and context-rich monitoring without vendor lock-in. It centralizes Prometheus and OpenTelemetry metrics, supports powerful filtering of high-cardinality attributes, and provides heatmap drilldowns and detailed trace views to pinpoint errors and bottlenecks in real time. Users benefit from fully customizable dashboards built on Perses, with support for code-based configuration and Grafana import, plus seamless integration with predefined alerts, checks, and PromQL queries. Dash0's AI-enhanced tools, such as Log AI for automated severity inference and pattern extraction, enrich telemetry data without requiring users to even notice that AI is working behind the scenes. These AI capabilities power features like log classification, grouping, inferred severity tagging, and streamlined triage workflows through the SIFT framework.Starting Price: $0.20 per month -
12
WhyLabs
WhyLabs
Enable observability to detect data and ML issues faster, deliver continuous improvements, and avoid costly incidents. Start with reliable data. Continuously monitor any data-in-motion for data quality issues. Pinpoint data and model drift. Identify training-serving skew and proactively retrain. Detect model accuracy degradation by continuously monitoring key performance metrics. Identify risky behavior in generative AI applications and prevent data leakage. Protect your generative AI applications are safe from malicious actions. Improve AI applications through user feedback, monitoring, and cross-team collaboration. Integrate in minutes with purpose-built agents that analyze raw data without moving or duplicating it, ensuring privacy and security. Onboard the WhyLabs SaaS Platform for any use cases using the proprietary privacy-preserving integration. Security approved for healthcare and banks. -
13
Apica
Apica
Apica is the observability cost optimization leader helping IT teams gain complete control over their telemetry data economics. Apica Ascent processes all observability data types including metrics, logs, traces, and events while optimizing observability costs by 40% compared to traditional approaches. Unlike solutions that lock users into proprietary formats, Ascent offers true flexibility with support for any data lake of choice, on-premises or cloud deployment options, and elimination of expensive tool sprawl through modular solutions. Built to handle high-cardinality data that overwhelms competitive solutions, Ascent includes the patented InstaStore™ optimized storage technology for maximum efficiency and advanced root cause analysis capabilities. Organizations choose us to make observability investments that reduce costs instead of spiraling them out of control. -
14
InsightFinder
InsightFinder
InsightFinder Unified Intelligence Engine (UIE) platform provides human-centered AI solutions for identifying incident root causes, and predicting and preventing production incidents. Powered by patented self-tuning unsupervised machine learning, InsightFinder continuously learns from metric time series, logs, traces, and triage threads from SREs and DevOps Engineers to bubble up root causes and predict incidents from the source. Companies of all sizes have embraced the platform and seen that business-impacting incidents can be predicted hours ahead with clearly pinpointed root causes. Survey a comprehensive overview of your IT Ops ecosystem, including patterns, trends, and team activities. Also view calculations that demonstrate overall downtime savings, cost of labor savings, and number of incidents resolved.Starting Price: $2.5 per core per month -
15
Helicone
Helicone
Track costs, usage, and latency for GPT applications with one line of code. Trusted by leading companies building with OpenAI. We will support Anthropic, Cohere, Google AI, and more coming soon. Stay on top of your costs, usage, and latency. Integrate models like GPT-4 with Helicone to track API requests and visualize results. Get an overview of your application with an in-built dashboard, tailor made for generative AI applications. View all of your requests in one place. Filter by time, users, and custom properties. Track spending on each model, user, or conversation. Use this data to optimize your API usage and reduce costs. Cache requests to save on latency and money, proactively track errors in your application, handle rate limits and reliability concerns with Helicone.Starting Price: $1 per 10,000 requests -
16
Palladyne IQ
Palladyne AI
Palladyne IQ is a closed-loop autonomy software platform that adds human-like reasoning, adaptability, and autonomy to industrial robots, cobots, and other robotic platforms. It enables robots to observe, learn, reason, and act, processing data locally (“edge computing”) using multimodal sensor inputs (vision, LiDAR, radar, acoustic, etc.), allowing machines to perceive their environment, learn new tasks from a few human-guided demonstrations (often just 1–5), and dynamically adapt to changes or unexpected conditions. Rather than rigid pre-programmed routines, robots powered by Palladyne IQ can autonomously determine optimal actions in real time and complete complex, variable tasks such as pick-and-place, parts sequencing, product assembly, quality-control inspection, surface preparation (grit blasting, sanding, hydroblasting), and maintenance operations. -
17
Portkey
Portkey.ai
Launch production-ready apps with the LMOps stack for monitoring, model management, and more. Replace your OpenAI or other provider APIs with the Portkey endpoint. Manage prompts, engines, parameters, and versions in Portkey. Switch, test, and upgrade models with confidence! View your app performance & user level aggregate metics to optimise usage and API costs Keep your user data secure from attacks and inadvertent exposure. Get proactive alerts when things go bad. A/B test your models in the real world and deploy the best performers. We built apps on top of LLM APIs for the past 2 and a half years and realised that while building a PoC took a weekend, taking it to production & managing it was a pain! We're building Portkey to help you succeed in deploying large language models APIs in your applications. Regardless of you trying Portkey, we're always happy to help!Starting Price: $49 per month -
18
Maxim
Maxim
Maxim is an agent simulation, evaluation, and observability platform that empowers modern AI teams to deploy agents with quality, reliability, and speed. Maxim's end-to-end evaluation and data management stack covers every stage of the AI lifecycle, from prompt engineering to pre & post release testing and observability, data-set creation & management, and fine-tuning. Use Maxim to simulate and test your multi-turn workflows on a wide variety of scenarios and across different user personas before taking your application to production. Features: Agent Simulation Agent Evaluation Prompt Playground Logging/Tracing Workflows Custom Evaluators- AI, Programmatic and Statistical Dataset Curation Human-in-the-loop Use Case: Simulate and test AI agents Evals for agentic workflows: pre and post-release Tracing and debugging multi-agent workflows Real-time alerts on performance and quality Creating robust datasets for evals and fine-tuning Human-in-the-loop workflowsStarting Price: $29/seat/month -
19
Evidently AI
Evidently AI
The open-source ML observability platform. Evaluate, test, and monitor ML models from validation to production. From tabular data to NLP and LLM. Built for data scientists and ML engineers. All you need to reliably run ML systems in production. Start with simple ad hoc checks. Scale to the complete monitoring platform. All within one tool, with consistent API and metrics. Useful, beautiful, and shareable. Get a comprehensive view of data and ML model quality to explore and debug. Takes a minute to start. Test before you ship, validate in production and run checks at every model update. Skip the manual setup by generating test conditions from a reference dataset. Monitor every aspect of your data, models, and test results. Proactively catch and resolve production model issues, ensure optimal performance, and continuously improve it.Starting Price: $500 per month -
20
Lucidic AI
Lucidic AI
Lucidic AI is a specialized analytics and simulation platform built for AI agent development that brings much-needed transparency, interpretability, and efficiency to often opaque workflows. It provides developers with visual, interactive insights, including searchable workflow replays, step-by-step video, and graph-based replays of agent decisions, decision tree visualizations, and side‑by‑side simulation comparisons, that enable you to observe exactly how your agent reasons and why it succeeds or fails. The tool dramatically reduces iteration time from weeks or days to mere minutes by streamlining debugging and optimization through instant feedback loops, real‑time “time‑travel” editing, mass simulations, trajectory clustering, customizable evaluation rubrics, and prompt versioning. Lucidic AI integrates seamlessly with major LLMs and frameworks and offers advanced QA/QC mechanisms like alerts, workflow sandboxing, and more. -
21
Vivgrid
Vivgrid
Vivgrid is a development platform for AI agents that emphasizes observability, debugging, safety, and global deployment infrastructure. It gives you full visibility into agent behavior, logging prompts, memory fetches, tool usage, and reasoning chains, letting developers trace where things break or deviate. You can test, evaluate, and enforce safety policies (like refusal rules or filters), and incorporate human-in-the-loop checks before going live. Vivgrid supports the orchestration of multi-agent systems with stateful memory, routing tasks dynamically across agent workflows. On the deployment side, it operates a globally distributed inference network to ensure low-latency (sub-50 ms) execution and exposes metrics like latency, cost, and usage in real time. It aims to simplify shipping resilient AI systems by combining debugging, evaluation, safety, and deployment into one stack, so you're not stitching together observability, infrastructure, and orchestration.Starting Price: $25 per month -
22
Arize Phoenix
Arize AI
Phoenix is an open-source observability library designed for experimentation, evaluation, and troubleshooting. It allows AI engineers and data scientists to quickly visualize their data, evaluate performance, track down issues, and export data to improve. Phoenix is built by Arize AI, the company behind the industry-leading AI observability platform, and a set of core contributors. Phoenix works with OpenTelemetry and OpenInference instrumentation. The main Phoenix package is arize-phoenix. We offer several helper packages for specific use cases. Our semantic layer is to add LLM telemetry to OpenTelemetry. Automatically instrumenting popular packages. Phoenix's open-source library supports tracing for AI applications, via manual instrumentation or through integrations with LlamaIndex, Langchain, OpenAI, and others. LLM tracing records the paths taken by requests as they propagate through multiple steps or components of an LLM application.Starting Price: Free -
23
Azure AI Anomaly Detector
Microsoft
Foresee problems before they occur with an Azure AI anomaly detection service. Easily embed time-series anomaly detection capabilities into your apps to help users identify problems quickly. AI Anomaly Detector ingests time-series data of all types and selects the best anomaly detection algorithm for your data to ensure high accuracy. Detect spikes, dips, deviations from cyclic patterns, and trend changes through both univariate and multivariate APIs. Customize the service to detect any level of anomaly. Deploy the anomaly detection service where you need it, in the cloud or at the intelligent edge. A powerful inference engine assesses your time-series dataset and automatically selects the right anomaly detection algorithm to maximize accuracy for your scenario. Automatic detection eliminates the need for labeled training data to help you save time and stay focused on fixing problems as soon as they surface. -
24
Aquarium
Aquarium
Aquarium's embedding technology surfaces the biggest problems in your model performance and finds the right data to solve them. Unlock the power of neural network embeddings without worrying about maintaining infrastructure or debugging embedding models. Automatically find the most critical patterns of model failures in your dataset. Understand the long tail of edge cases and triage which issues to solve first. Trawl through massive unlabeled datasets to find edge-case scenarios. Bootstrap new classes with a handful of examples using few-shot learning technology. The more data you have, the more value we offer. Aquarium reliably scales to datasets containing hundreds of millions of data points. Aquarium offers solutions engineering resources, customer success syncs, and user training to help customers get value. We also offer an anonymous mode for organizations who want to use Aquarium without exposing any sensitive data.Starting Price: $1,250 per month -
25
ROCK Desktop
ROCK Robotic
ROCK Desktop is a comprehensive LiDAR processing and visualization software developed by ROCK Robotic. It enables users to process raw data from ROCK LiDAR systems, offering enhanced trajectory processing and the capability to visualize large datasets both in the field and the office. The software allows users to compose areas, select fields of view and range and includes features like ROCK Ray-Trace Colorization and SLAM/SLAM GCP Alignment. The free version serves as a point cloud visualizer, capable of compressing LiDAR file sizes by up to 10 times, facilitating easier sharing during presentations and seamless synchronization with ROCK Cloud projects. Advanced calibration tools provide users with control over their data, supporting both camera and LiDAR calibration. Integration with ROCK Cloud enables one-click access to cloud processing power, increasing upload speeds and allowing for quick project sharing. -
26
InfluxDB
InfluxData
InfluxDB is a purpose-built data platform designed to handle all time series data, from users, sensors, applications and infrastructure — seamlessly collecting, storing, visualizing, and turning insight into action. With a library of more than 250 open source Telegraf plugins, importing and monitoring data from any system is easy. InfluxDB empowers developers to build transformative IoT, monitoring and analytics services and applications. InfluxDB’s flexible architecture fits any implementation — whether in the cloud, at the edge or on-premises — and its versatility, accessibility and supporting tools (client libraries, APIs, etc.) make it easy for developers at any level to quickly build applications and services with time series data. Optimized for developer efficiency and productivity, the InfluxDB platform gives builders time to focus on the features and functionalities that give their internal projects value and their applications a competitive edge.Starting Price: $0 -
27
Quick Terrain Modeler
Applied Imagery
Quick Terrain Modeler, developed by Applied Imagery, is a premier 3D point cloud and terrain visualization software designed for efficient LiDAR data exploitation. It offers a user-friendly interface that allows users to work with extensive 3D datasets, perform rapid analyses, and export a variety of products with minimal training. The software supports data from multiple sources, including LiDAR, photogrammetry, radar, and sonar, and can handle data in various coordinate systems, converting them seamlessly within a single scene. Key features include visualization of vast amounts of 3D data in point cloud or surface model formats, interactive inspection tools, 3D editing capabilities, automatic point cloud classification, building extraction, and a suite of geospatial analysis tools. Quick Terrain Modeler is compatible with Windows operating systems and offers a free trial version for users to evaluate its capabilities. -
28
LidarView
Kitware
LidarView is an open source platform developed by Kitware for real-time visualization, recording, and processing of 3D LiDAR data. Built atop ParaView, it efficiently renders large point clouds and offers features such as 3D visualization of time-stamped LiDAR returns, a spreadsheet inspector for attributes like timestamp and azimuth, and the ability to display multiple data frames simultaneously. Users can input data from live sensor streams or recorded .pcap files, apply 3D transformations to point clouds and manage subsets of laser data. LidarView supports various sensors, including models from Velodyne, Hesai, Robosense, Livox, and Leishen, enabling visualization of live streams and replaying of recorded data. The platform integrates advanced algorithms for Simultaneous Localization and Mapping (SLAM), facilitating accurate environmental reconstruction and sensor localization. It also incorporates AI and machine learning capabilities for scene classification.Starting Price: Free -
29
Athina AI
Athina AI
Athina is a collaborative AI development platform that enables teams to build, test, and monitor AI applications efficiently. It offers features such as prompt management, evaluation tools, dataset handling, and observability, all designed to streamline the development of reliable AI systems. Athina supports integration with various models and services, including custom models, and ensures data privacy through fine-grained access controls and self-hosted deployment options. The platform is SOC-2 Type 2 compliant, providing a secure environment for AI development. Athina's user-friendly interface allows both technical and non-technical team members to collaborate effectively, accelerating the deployment of AI features.Starting Price: Free -
30
Galileo
Galileo
Models can be opaque in understanding what data they didn’t perform well on and why. Galileo provides a host of tools for ML teams to inspect and find ML data errors 10x faster. Galileo sifts through your unlabeled data to automatically identify error patterns and data gaps in your model. We get it - ML experimentation is messy. It needs a lot of data and model changes across many runs. Track and compare your runs in one place and quickly share reports with your team. Galileo has been built to integrate with your ML ecosystem. Send a fixed dataset to your data store to retrain, send mislabeled data to your labelers, share a collaborative report, and a lot more! Galileo is purpose-built for ML teams to build better quality models, faster. -
31
Gemini Robotics
Google DeepMind
Gemini Robotics brings Gemini’s capacity for multimodal reasoning and world understanding into the physical world, allowing robots of any shape and size to perform a wide range of real-world tasks. Built on Gemini 2.0, it augments advanced vision-language-action models with the ability to reason about physical spaces, generalize to novel situations, including unseen objects, diverse instructions, and new environments, and understand and respond to everyday conversational commands while adapting to sudden changes in instructions or surroundings without further input. Its dexterity module enables complex tasks requiring fine motor skills and precise manipulation, such as folding origami, packing lunch boxes, or preparing salads, and it supports multiple embodiments, from bi-arm platforms like ALOHA 2 to humanoid robots such as Apptronik’s Apollo. It is optimized for local execution and has an SDK for seamless adaptation to new tasks and environments. -
32
Orq.ai
Orq.ai
Orq.ai is the #1 platform for software teams to operate agentic AI systems at scale. Optimize prompts, deploy use cases, and monitor performance, no blind spots, no vibe checks. Experiment with prompts and LLM configurations before moving to production. Evaluate agentic AI systems in offline environments. Roll out GenAI features to specific user groups with guardrails, data privacy safeguards, and advanced RAG pipelines. Visualize all events triggered by agents for fast debugging. Get granular control on cost, latency, and performance. Connect to your favorite AI models, or bring your own. Speed up your workflow with out-of-the-box components built for agentic AI systems. Manage core stages of the LLM app lifecycle in one central platform. Self-hosted or hybrid deployment with SOC 2 and GDPR compliance for enterprise security. -
33
Percepio
Percepio
Percepio offers a suite of observability tools that give developers “X-ray vision” into embedded software behavior to speed up debugging, optimize performance, and improve reliability across the entire product lifecycle. Its flagship product, Percepio Tracealyzer, provides RTOS-aware event tracing and rich visual trace diagnostics that simplify debugging and performance analysis by revealing thread execution, interrupt handlers, kernel calls, communication flows, CPU usage, and custom event data in intuitive graphical timelines, helping developers identify anomalies and bottlenecks quickly. Percepio’s broader Continuous Observability software combines Tracealyzer with Detect for systematic runtime visibility during testing and DevAlert for cloud-connected monitoring and actionable alerts on deployed devices, enabling teams to catch issues early and maintain stable operation in the field. -
34
Censius is an innovative startup in the machine learning and AI space. We bring AI observability to enterprise ML teams. Ensuring that ML models' performance is in check is imperative with the extensive use of machine learning models. Censius is an AI Observability Platform that helps organizations of all scales confidently make their machine-learning models work in production. The company launched its flagship AI observability platform that helps bring accountability and explainability to data science projects. A comprehensive ML monitoring solution helps proactively monitor entire ML pipelines to detect and fix ML issues such as drift, skew, data integrity, and data quality issues. Upon integrating Censius, you can: 1. Monitor and log the necessary model vitals 2. Reduce time-to-recover by detecting issues precisely 3. Explain issues and recovery strategies to stakeholders 4. Explain model decisions 5. Reduce downtime for end-users 6. Build customer trust
-
35
FugroViewer
Fugro
FugroViewer is a robust, easy-to-use freeware designed to help users make the most of their geospatial data. We have developed it for use with various types of raster- and vector-based geospatial datasets, including data from photogrammetric, lidar, and IFSAR sources. FugroViewer 3.5 is available for download. FugroViewer now reads files up to six times larger, with improved graphics handling to decrease the rendering time of data and increase efficiency. FugroViewer supports the latest open file format for lidar data storage and delivery. Display elevation and terrain model data in standard ortho, 3D perspective, and cross-section/profile views. Display GPS time and RGB value, if the information is available. Color TINs by elevation using blue-to-red earth tone, or intensity values. Overlay imagery and vectors onto your 3D elevation and terrain datasets. Examine lidar point clouds by classification, flight line, return number, or source ID.Starting Price: Free -
36
Google Earth Engine
Google
Google Earth Engine is a cloud-based platform for scientific analysis and visualization of geospatial datasets, providing access to a vast public data archive that includes over 90 petabytes of analysis-ready satellite imagery and more than 1,000 curated geospatial datasets. This extensive catalog encompasses over 50 years of historical imagery, updated daily, with resolutions as fine as one meter per pixel, featuring datasets such as Landsat, MODIS, Sentinel, and the National Agriculture Imagery Program (NAIP). Earth Engine enables users to analyze Earth observation data and apply machine learning techniques through its web-based JavaScript Code Editor and Python API, facilitating the development of complex geospatial workflows. The platform's integration with Google Cloud allows for large-scale parallel processing, empowering users to conduct comprehensive analyses and visualize Earth data efficiently. Additionally, Earth Engine offers interoperability with BigQuery.Starting Price: $500 per month -
37
Deepen
Deepen
Deepen AI offers advanced multi-sensor data labeling and calibration tools and services to accelerate computer vision training for autonomous vehicles, robotics, and more. Their annotation suite supports various key cases, including 2D and 3D bounding boxes, semantic and instance segmentation, polylines, and key points. The platform is AI-powered, featuring pre-labeling capabilities that can automatically label up to 80 common classes, improving productivity by seven times. It also includes machine learning-assisted segmentation, allowing users to segment objects with just a few clicks, and accurate object detection and tracking across frames to avoid duplicate efforts and save time. Deepen AI's calibration suite supports all key sensor types, such as LiDAR, camera, radar, IMU, and vehicle sensors. The tools enable seamless visualization and inspection of multi-sensor data integrity, and calculation of intrinsic and extrinsic calibration parameters in seconds. -
38
RoboLogix
Logic Design Inc.
RoboLogix is a state-of-the-art robotics simulation software package that is designed to emulate real-world robotics applications. With RoboLogix, you teach, test, run, and debug programs that you have written yourself using a five-axis industrial robot in a wide range of practical applications. These applications include pick-and-place, palletizing, welding, and painting, and allow for customized environments so that you can design your own robotics application. With RoboLogix, the user can run the simulator to test and visually examine the execution of robot programs and control algorithms. RoboLogix is ideal for students as well as robot designers and engineers. It is the only robotics simulation tool that provides engineering-level simulation at such an affordable price. The simulation software allows for verification of the reachability, travel ranges, and collisions.Starting Price: $295 one-time payment -
39
LP360
GeoCue
LiDAR & photogrammetry 3D point cloud software. Whether it's airborne or terrestrial collected LIDAR data, 3D point clouds have become a critical element in mapping. LP360, an advanced desktop LIDAR software package, makes easy work of extracting information and generating deliverables in an intuitive GIS environment. Process, analyze, and maximize drone survey data, producing valuable information and deliverables. A full geospatial workflow for your LiDAR and Imagery data with visualization, QA / QC tools, Classification, 3D editing and analysis capabilities. LP360 Cloud is an ever-growing collection of cloud-based tools and resources that will make it easy for you to manage, archive, share and collaborate on geospatial projects. As is true with all LP360 software, we are always building it around you; see below for the latest that LP360 Cloud has to offer. -
40
NVIDIA Cosmos
NVIDIA
NVIDIA Cosmos is a developer-first platform of state-of-the-art generative World Foundation Models (WFMs), advanced video tokenizers, guardrails, and an accelerated data processing and curation pipeline designed to supercharge physical AI development. It enables developers working on autonomous vehicles, robotics, and video analytics AI agents to generate photorealistic, physics-aware synthetic video data, trained on an immense dataset including 20 million hours of real-world and simulated video, to rapidly simulate future scenarios, train world models, and fine‑tune custom behaviors. It includes three core WFM types; Cosmos Predict, capable of generating up to 30 seconds of continuous video from multimodal inputs; Cosmos Transfer, which adapts simulations across environments and lighting for versatile domain augmentation; and Cosmos Reason, a vision-language model that applies structured reasoning to interpret spatial-temporal data for planning and decision-making.Starting Price: Free -
41
fixa
fixa
fixa is an open source platform designed to help monitor, debug, and improve AI-driven voice agents. It offers comprehensive tools to track key performance metrics, such as latency, interruptions, and correctness in voice interactions. Users can measure response times, track latency metrics like TTFW and p50/p90/p95, and flag instances where the voice agent interrupts the user. Additionally, fixa allows for custom evaluations to ensure the voice agent provides accurate responses, and it offers custom Slack alerts to notify teams when issues arise. With simple pricing models, fixa is tailored for teams at different stages, from those just getting started to organizations with custom needs. It provides volume discounts and priority support for enterprise clients, and it emphasizes data security with SOC 2 and HIPAA compliance options.Starting Price: $0.03 per minute -
42
Lucky Robots
Lucky Robots
Lucky Robots is a robotics-focused simulation platform that lets teams train, test, and refine AI models for robots entirely in high-fidelity virtual environments that mimic real-world physics, sensors, and interactions, enabling massive generation of synthetic training data and rapid iteration without physical robots or costly lab setups. It uses hyper-realistic scenes (e.g., kitchens, terrain) built on advanced simulation tech to create varied edge cases, generate millions of labeled episodes for scalable model learning, and accelerate development while reducing cost and safety risk. It supports natural language control in simulated scenarios, lets users bring their own robot models or choose from commercially available ones, and includes tools for collaboration, environment sharing, and training workflows via LuckyHub, helping developers push models toward real-world performance more efficiently.Starting Price: Free -
43
Mona
Mona
Gain complete visibility into the performance of your data, models, and processes with the most flexible monitoring solution. Automatically surface and resolve performance issues within your AI/ML or intelligent automation processes to avoid negative impacts on both your business and customers. Learning how your data, models, and processes perform in the real world is critical to continuously improving your processes. Monitoring is the ‘eyes and ears' needed to observe your data and workflows to tell you if they’re performing well. Mona exhaustively analyzes your data to provide actionable insights based on advanced anomaly detection mechanisms, to alert you before your business KPIs are hurt. Take stock of any part of your production workflows and business processes, including models, pipelines, and business outcomes. Whatever datatype you work with, whether you have a batch or streaming real-time processes, and for the specific way in which you want to measure your performance. -
44
RoboMinder
RoboMinder
Comprehensive monitoring, in-depth analysis, and interactive insights with our multimodal LLM-based analytics tool. Unify multi-modal data like video, logs, sensor data, and documentation for a complete operational overview. Delve beyond symptoms to uncover the deep causes of incidents, enabling preventative strategies and robust solutions. Dive into data with interactive inquiries to understand and learn from past incidents. Get early access to the next-gen of robot analytics. -
45
Lightrun
Lightrun
Add logs, metrics and traces to production and staging, directly from your IDE or CLI, in real-time and on-demand. Boost productivity and gain 100% code-level observability with Lightrun. Insert logs and metrics in real-time even while the service is running. Debug monolith microservices, Kubernetes, Docker Swarm, ECS, Big Data workers, serverless, and more. Quickly add a missing logline, instrument a metric, or place a snapshot to be taken on demand. No need to replicate the production environment or re-deploy. Once the instrumentation is invoked, the data is printed to the log analysis tool, your IDE, or to an APM of your choice. Analyze code behavior to find bottlenecks and errors without stopping the running process. Easily add large amounts of logs, snapshots, counters, timers, function durations, and more. You won’t stop or break the system. Spend less time debugging and more time coding. No more restarting, redeploying and reproducing when debugging. -
46
RoSi
Robotec.ai
RoSi is an end-to-end digital twin simulation platform that accelerates the development, training, and testing of robotics and automation systems, utilizing Software-in-the-Loop (SiL) and Hardware-in-the-Loop (HiL) simulations and generating synthetic datasets. It is applied to both classic and AI-powered technologies. RoSi is offered as a SaaS or on-premise software product. Key benefits include support for multiple robots and systems, realistic real-time simulation, unmatched performance and cloud scalability, open and interoperable standards (ROS 2, O3DE), and AI integrations for synthetic datasets and embodied AI. RoSi for Mining is designed to meet the needs of modern mining. It is utilized by mining companies, providers of mining technologies, and OEMs working within the mining industry. RoSi mining harnesses the power of optimized digital twin simulation technologies and scalable architecture to develop, validate, and test mining systems with unmatched efficiency and accuracy. -
47
Fiddler AI
Fiddler AI
Fiddler is a pioneer in Model Performance Management for responsible AI. The Fiddler platform’s unified environment provides a common language, centralized controls, and actionable insights to operationalize ML/AI with trust. Model monitoring, explainable AI, analytics, and fairness capabilities address the unique challenges of building in-house stable and secure MLOps systems at scale. Unlike observability solutions, Fiddler integrates deep XAI and analytics to help you grow into advanced capabilities over time and build a framework for responsible AI practices. Fortune 500 organizations use Fiddler across training and production models to accelerate AI time-to-value and scale, build trusted AI solutions, and increase revenue. -
48
Overseer AI
Overseer AI
Overseer AI is a platform designed to ensure AI-generated content is safe, accurate, and aligned with user-defined policies. It offers compliance enforcement by automating adherence to regulatory standards through custom policy rules, real-time content moderation to block harmful, toxic, or biased outputs from AI, debugging AI outputs by testing and monitoring responses against custom safety policies, policy-driven AI governance by applying centralized safety rules across all AI interactions, and trust-building for AI by guaranteeing safe, accurate, and brand-compliant outputs. The platform caters to various industries, including healthcare, finance, legal technology, customer support, education technology, and ecommerce & retail, providing tailored solutions to ensure AI responses align with industry-specific regulations and standards. Developers can access comprehensive guides and API references to integrate Overseer AI into their applications.Starting Price: $99 per month -
49
Dynamiq
Dynamiq
Dynamiq is a platform built for engineers and data scientists to build, deploy, test, monitor and fine-tune Large Language Models for any use case the enterprise wants to tackle. Key features: 🛠️ Workflows: Build GenAI workflows in a low-code interface to automate tasks at scale 🧠 Knowledge & RAG: Create custom RAG knowledge bases and deploy vector DBs in minutes 🤖 Agents Ops: Create custom LLM agents to solve complex task and connect them to your internal APIs 📈 Observability: Log all interactions, use large-scale LLM quality evaluations 🦺 Guardrails: Precise and reliable LLM outputs with pre-built validators, detection of sensitive content, and data leak prevention 📻 Fine-tuning: Fine-tune proprietary LLM models to make them your ownStarting Price: $125/month -
50
Fuzzy Studio
Fuzzy Logic Robotics
Visual no-code robot programming and simulation. Designed for people who are not robotics experts. Compatible with all major robot brands (ABB, FANUC, KUKA, Staübli, Universal Robot & Yaskawa). Enables both offline and online robotic programming. Program any robot - no coding skills necessary. There is no need to learn or understand programming to use a robot. With our no-code user interface, visually interact with the 3D simulated environment and the robot programs are automatically generated for you. Get up and running right away without wasting time on details. Figure out how robotics can work for you with step-by-step application tutorials and our clear user interface. Design and simulate your robotic workcell. Design, simulate and modify an entire robotic process in just a few clicks. In Fuzzy Studio, anyone can layout, test, and reconfigure their robotic workcell.
