deck.gl VS Emisar.dev
Compare deck.gl VS Emisar.dev and see what are their differences
Topolog is a goal planner that models your plans as a directed graph and allows you to execute tasks in order, then schedules your days around them.
featured
deck.gl
Vizzu
Visualoop
Datamatic.io
SCImago Graphica
Brandwatch Vizia
Redash
Universal Icon Set
Emisar.dev
Emisar is the last MCP server youโll need to install: a Zero-Trust gateway connecting Claude, Cursor, ChatGPT, and any AI agent to your infrastructure. One server handles production access, debugging, alerts, and internal operations, with new capabilities added as packs. Agents can inspect real production state, debug what they shipped, and help resolve incidents. Safe reads run automatically; policy allows, blocks, or routes risky actions for approval. No SSH keys, VPNs, remote shells, or standing shell access โ and every call is recorded.
Emisar.devNo features have been listed yet.
No Emisar.dev videos yet. You could help us improve this page by suggesting one.
Emisar.dev's answer:
emisar is for SRE, DevOps, platform engineering, infrastructure, and security teams that want AI agents to inspect and operate production systems. It is especially relevant to teams managing multiple Linux hosts, clusters, databases, cloud services, or regulated environments where unrestricted shell access and incomplete audit records are unacceptable.
Emisar.dev's answer:
The hosted control plane and operator interface use Elixir, Phoenix, LiveView, PostgreSQL, and Tailwind CSS. The host runner and MCP bridge are written in Go. Action packs use YAML and JSON Schema, while production infrastructure is managed with Terraform on Google Cloud. The system communicates through MCP, OAuth 2.1, TLS, and WebSockets.
Emisar.dev's answer:
Emisar.dev's answer:
Founder Andrii Dryga spent a decade working as a CTO, full-stack engineer, SRE, and DevOps engineer. He experienced the cost of running the wrong command on the wrong cluster, while also seeing AI solve operational problems in seconds. emisar grew from the need to preserve both truths: AI agents are useful, and production access must remain bounded. Its answer is to give agents a reviewed catalog of operations instead of a blank terminal.
Emisar.dev's answer:
emisar lets AI agents work on real infrastructure without giving them a shell. Agents choose from a finite catalog of typed, versioned actions. Policy decides what runs, what requires approval, and what is denied, while an outbound-only runner verifies the action again on the host. New capabilities arrive as packs behind the same MCP integration, and every request is recorded in both a searchable audit trail and a tamper-evident host journal. [
Emisar.dev's answer:
Choose emisar when you want an agent to keep investigating and handling routine operations without handing it SSH credentials or supervising every call. Compared with raw shell access, copy-paste workflows, or one-off MCP servers, emisar provides reviewed action contracts, host-level enforcement, risk-based policy, scoped access, approvals, pack integrity checks, and a durable audit trail. It is built specifically for governed infrastructure access rather than generic automation.
Based on our record, deck.gl seems to be more popular. It has been mentiond 20 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I wanted to build a project which utilized map in some way using deck.gl. So I thought what better way than to visualize the users who are visiting the project itself. I knew I would need visitor's location (rough/accurate it did not matter to me that much) and I was aware that Cloudflare allows you to enable location headers from which I could extract the data which I wanted. - Source: dev.to / almost 2 years ago
Per the deck.gl website, deck.gl is a GPU-powered framework for visual exploratory data analysis of large datasets. It makes use of WebGL to render large datasets quickly and efficiently. deck.gl is a great tool for visualizing large datasets in a performant way. It is (mostly) agnostic to the mapping library you use, so it can be used with Google Maps API. - Source: dev.to / about 2 years ago
You will need a decent front end framework, I suggest using https://deck.gl/ to maybe start off . You can also opt develop something yourself using webgl framework but will take more time. It depends on your experience and budget. Source: about 3 years ago
The line visuals at the bottom are not using Mapbox. Rather they're using the open source Kepler.gl [0], (a user-friendly wrapping of the deck.gl library [1]). These can use Mapbox for the underlying basemap, but the data rendering is done separately. (This is easy to tell if you look at the page source. The map at the bottom is an embed from a static HTML kepler.gl map [2]) [0]: https://kepler.gl/ [1]:... - Source: Hacker News / over 3 years ago
The title speaks for itself lol. Currently, I am building an interactive map using mapbox and deck.gl. I needed to use deck.gl because its the only react friendly library. Lately, I have had a hard time finding a geocoder to use with deck.gl. If anybody has any suggestions please let me know! Source: over 3 years ago
Vizzu - Vizzu lets you use animated charts to share insights in complex data sets as self-explanatory stories.
Visualoop - Dribbble for infographic & data visualization artists
Datamatic.io - Datamatic - WordPress for data visualizations
SCImago Graphica - SCImago Graphica is a desktop application (Mac, Win and Linux) designed to analyze and visualize data.
Brandwatch Vizia - Multi-screen display telling the story of your social data
Redash - Data visualization and collaboration tool.