Software Alternatives, Accelerators & Startups

jello VS Emisar.dev

Compare jello VS Emisar.dev and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

jello logo jello

jello is a command line tool that filters JSON data using pure python syntax.

Emisar.dev logo Emisar.dev

One governed MCP server connects any AI agent to a finite action catalog, enforced on-host with pack trust, policy gates, human approvals, and a hash-chained audit trail.
  • jello Landing page
    Landing page //
    2023-08-19
  • Emisar.dev Approvals
    Approvals //
    2026-07-21
  • Emisar.dev Audit Log
    Audit Log //
    2026-07-21
  • Emisar.dev Policies
    Policies //
    2026-07-21
  • Emisar.dev Runner fleet
    Runner fleet //
    2026-07-21

Emisar is the last MCP server youโ€™ll 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.dev

Website
emisar.dev
$ Details
freemium $20.0 / Monthly (per runner)
Startup details
Country
United States
State
CA
Founder(s)
Andrew Dryga
Employees
1 - 9

jello features and specs

  • JSON Parsing
    Jello allows efficient JSON data parsing and transformation using Python syntax, making it easier for users with Python knowledge to manipulate JSON data.
  • Command-Line Integration
    It integrates well into CLI environments, allowing users to process JSON data within terminal sessions, which can be particularly useful for quick data transformations and scripting tasks.
  • Flexible Querying
    Jello enables flexible and complex querying capabilities, which can handle a variety of JSON data manipulation needs, from filtering to restructuring.
  • Lightweight Tool
    It is a lightweight utility that doesn't require extensive setup or dependencies, making it easy to install and use without considerable overhead.

Possible disadvantages of jello

  • Learning Curve
    Users unfamiliar with Python or command-line interfaces might experience a steep learning curve when starting with Jello, requiring a period of adjustment and learning.
  • Limited to JSON
    Jello is specifically designed for JSON data, limiting its applicability to other data formats unless converted to JSON first.
  • Performance Constraints
    For extremely large JSON data sets, performance might be a constraint when using Jello, as it may not handle large files as efficiently as some specialized tools designed for big data.
  • Dependency on Python
    Since Jello requires Python, environments without Python installed might find it challenging to use the tool without setting up the necessary environment first.

Emisar.dev features and specs

No features have been listed yet.

jello videos

Koolaid Gels Jello Review

More videos:

  • Review - Jello Zombie Brain Gelatin Mold Review

Emisar.dev videos

No Emisar.dev videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to jello and Emisar.dev)
File Manager
100 100%
0% 0
AI Tools
0 0%
100% 100
File Explorer
100 100%
0% 0
Infrastructure Monitoring

Questions & Answers

As answered by people managing jello and Emisar.dev.

How would you describe the primary audience of your product?

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.

Which are the primary technologies used for building your product?

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.

Who are some of the biggest customers of your product?

Emisar.dev's answer:

  • Blitz.gg - game analytics for billions of matches and a pretty large infrastructure.

What's the story behind your product?

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.

What makes your product unique?

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. [

Why should a person choose your product over its competitors?

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.

User comments

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Social recommendations and mentions

Based on our record, jello 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.

jello mentions (20)

  • jq 1.7 Released
    Jello letโ€™s you use python syntax with dot notation without the stdin/stdout/json.loads boilerplate. https://github.com/kellyjonbrazil/jello. - Source: Hacker News / almost 3 years ago
  • jq 1.7 Released
    A couple more alternatives: https://github.com/kellyjonbrazil/jello. - Source: Hacker News / almost 3 years ago
  • Simple Apache Log Parser
    Yep, you can create a filter in jq to do that. Alternatively, if you prefer Python syntax you could try jello, which works like jq but is really Python under the hood. (I am also the author of jello). Source: over 3 years ago
  • Jc โ€“ JSONifies the output of many CLI tools
    Hi there - I'm the author of `jc`. I also created `jello`[0], which works just like `jq` but uses python syntax. I find `jq` is great for many things but sometimes more complex operations are easier for me to grok in python. [0] https://github.com/kellyjonbrazil/jello. - Source: Hacker News / over 3 years ago
  • An introduction to the magic of jq - Understanding the basics of jq with a realistic example
    I'm no expert in any of these tools, but here are some yamlpath and jello examples to match:. Source: about 4 years ago
View more

Emisar.dev mentions (0)

We have not tracked any mentions of Emisar.dev yet. Tracking of Emisar.dev recommendations started around Jul 2026.

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