Scan Azure and AWS resources against 621 policy rules. Auto-remediate findings, track compliance frameworks, integrate via API.
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iPython
Jupyter
PyCharm
Spyder
IDLE
PyScripter
Pyzo
Ecere SDK
SafeJSON.dev
JSONLint
JSON-Formatter.app
Code Beautify JSON Validator
betterjson.com
CSVJSON
DomainProtect
ExtendsClass JSON Formatter
SafeJSON is a browser-based JSON toolkit for developers who work with API responses, webhook payloads, JWTs, JSONPath queries, and JSON Schema validation.
It includes JSON formatting, validation, viewing, diffing, JWT decoding, JSONPath querying, and schema validation. Core JSON workflows are designed so pasted content is not intentionally uploaded, and users can verify the boundary in DevTools -> Network.
SafeJSON Pro adds advanced workflows for $5/month or $39/year.
iPython SafeJSON.devSafeJSON.dev's answer:
Safejson runs all JSON processing 100% locally in the user's browser, never uploading any sensitive JSON payloads to external servers. Most competing JSON tools send your confidential data to their backends for parsing, while we guarantee end-to-end client-side privacy alongside a full suite of JSON utilities like diff comparison and JWT decoding.
SafeJSON.dev's answer:
Frontend built with vanilla JavaScript + modern browser native APIs for local file handling and parsing, lightweight CSS framework for responsive UI, Lemon Squeezy for subscription & license management, pure client-side JSON parsing libraries with no server-side data persistence.
SafeJSON.dev's answer:
Users handling API keys, production secrets or private business data avoid data leakage risks with our local-only processing. We offer the same rich feature set as mainstream JSON tools, but with stronger privacy protection, flexible affordable subscription plans, and device-bound license activation without forced account registration.
SafeJSON.dev's answer:
Backend/frontend developers, DevOps engineers, cybersecurity professionals, and indie SaaS builders who regularly work with sensitive JSON data and prioritize data privacy, including enterprise developers dealing with confidential production payloads.
SafeJSON.dev's answer:
As a developer, I repeatedly faced anxiety when pasting sensitive API JSON into public online formatters, knowing the data could be logged or leaked on third-party servers. I built SafeJSON to fix this pain point: a fully client-side JSON toolkit that keeps all user data local, while packing all the everyday features developers need, and launched it as an indie MicroSaaS with fair pricing.
SafeJSON.dev's answer:
Individual freelance full-stack developers handling client confidential project data Small cybersecurity consultancies auditing API JSON payloads Indie SaaS engineering teams managing internal backend configurations DevOps specialists working with production environment JSON secrets
Based on our record, iPython 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.
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโฆ. - Source: dev.to / 11 months ago
As alluded to in Poetry2Nix Development Flake with Matplotlib GTK Support, Iโm currently in the process of getting my โnewโ python workflow up to speed. My second problem, after dependency and environment management, was that fancy REPLs like ipython or ptpython donโt jazz well with the standard comint based inferior python repl that comes with python-mode. One can basically only run ipython with the... - Source: dev.to / about 2 years ago
Third, if possible use a command line interpreter to test things out. I recommend ipython for this purpose. You can use your browser's developer console this way if you are learning Javascript. Source: over 3 years ago
IJulia is an interactive notebook environment powered by the Julia programming language. Its backend is integrated with that of the Jupyter environment. The interface is web-based, similar to the iPython notebook. It is open-source and cross-platform. - Source: dev.to / over 3 years ago
Also, take a look at installing iPthon to give you a much richer shell environment. This underpins Jupyter Notebooks, so is well known, proven and trusted. Source: over 3 years ago
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
JSONLint - JSON Lint is a web based validator and reformatter for JSON, a lightweight data-interchange format.
PyCharm - Python & Django IDE with intelligent code completion, on-the-fly error checking, quick-fixes, and much more...
JSON-Formatter.app - json-formatter.app is a free online tool that offers one-click copying, direct file conversion, and downloads. With open-source code and multilingual support, it features JSON beautification and parsing, as well as conversion to other formats like XM
Spyder - The Scientific Python Development Environment
Code Beautify JSON Validator - Code Beautyโs JSON Validator or JSON Lint is easy to use tool to copy, paste and validate JSON data.