Software Alternatives, Accelerators & Startups

Doppler VS Hugging Face

Compare Doppler VS Hugging Face and see what are their differences

Doppler logo Doppler

Doppler is the multi-cloud SecretOps Platform developers and security teams trust to provide secrets management at enterprise scale.

Hugging Face logo Hugging Face

The Tamagotchi powered by Artificial Intelligence 🤗
  • Doppler Landing page
    Landing page //
    2020-11-13

Doppler is the multi-cloud SecretOps Platform developers and security teams trust to provide secrets management at enterprise scale. Thousands of companies of all sizes—from startups to enterprises rely on Doppler to keep their secrets and app configuration in sync across devices, environments, and team members. Goodbye .env files.

  • Hugging Face Landing page
    Landing page //
    2023-09-19

Doppler videos

Setup Doppler from local development to production in less than 4 minutes.

Hugging Face videos

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Category Popularity

0-100% (relative to Doppler and Hugging Face)
Password Management
100 100%
0% 0
AI
0 0%
100% 100
Secrets Management
100 100%
0% 0
Social & Communications
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Hugging Face seems to be a lot more popular than Doppler. While we know about 258 links to Hugging Face, we've tracked only 20 mentions of Doppler. 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.

Doppler mentions (20)

  • Show HN: Novops – Secret and Config manager for local and CI environments
    How hard would it be to add support for Doppler (https://doppler.com)? - Source: Hacker News / 22 days ago
  • Keeping secrets out of public repositories
    If you’re asking yourself where you should be keeping secrets, you should be using a secrets manager. Two examples include Doppler (https://doppler.com). - Source: Hacker News / 4 months ago
  • Ask HN: How do you get developers to trust your product?
    I'm a developer advocate at Doppler (https://doppler.com), and we are a secrets (API keys, certs, etc.) management platform. I create content that's aimed at informing readers about our product. One of the biggest challenges I've encountered is convincing developers to trust our platform in a world of zero trust. Since we store important and sensitive data, we are often asked about how we encrypt data and what we... - Source: Hacker News / 4 months ago
  • Ask HN: Where do you save your API keys?
    Doppler (https://doppler.com) is my preferred tool for storing API keys. It centralizes where you manage all of your environmental variables and makes it so you never risk exposing your API keys in a code repo. There's a CLI tool that makes it easy to use all of your environment variables while you're developing and a ton of integrations for wherever you prefer to deploy your... - Source: Hacker News / 4 months ago
  • A mistakenly published password exposed Mercedes-Benz source code
    It seems like they made a lot of assumptions that something like this wouldn't happen. They assumed employees would never leak secret information, and that their GitHub repos would never be exposed. They could've used https://doppler.com) and never had this problem. It's a little too easy to get comfortable thinking things work well the way they are. This should be a warning to other companies to seriously... - Source: Hacker News / 5 months ago
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Hugging Face mentions (258)

  • Generating replies using Huggingface interference and Mistrial in NestJS
    Log in to your Huggingface account at https://huggingface.co. Click Access Token in the menu to generate a new token. - Source: dev.to / 4 days ago
  • Vector search in Manticore
    While looking into how to create text embeddings quickly and directly, we discovered a few helpful tools that allowed us to achieve our goal. Consequently, we created an easy-to-use PHP extension that can generate text embeddings. This extension lets you pick any model from Sentence Transformers on HuggingFace. It is built on the CandleML framework, which is written in Rust and is a part of the well-known... - Source: dev.to / 10 days ago
  • Understanding GPT: How To Implement a Simple GPT Model with PyTorch
    These libraries are fundamental for building and training our GPT model. PyTorch is a deep learning framework that provides flexibility and speed, while the Transformers library by Hugging Face offers pre-trained models and tokenizers, including GPT-2. - Source: dev.to / 14 days ago
  • Building a Simple Chatbot using GPT model - part 2
    Hugging Face is a company and community platform making AI accessible through open-source tools, libraries, and models. It is most notable for its transformers Python library, built for natural language processing applications. This library provides developers a way to integrate ML models hosted on Hugging Face into their projects and build comprehensive ML pipelines. - Source: dev.to / 22 days ago
  • Add Vector Search to Your Site
    We will use the OpenAI embeddings API to convert the content of the blog posts into vector embeddings. You will need to sign up for an API key on the OpenAI website to use the API. You will need to provide your credit card information as there is a cost associated with using the API. You can review the pricing on the OpenAI website. There are alternatives to generate embeddings. Hugging Face provides... - Source: dev.to / 21 days ago
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What are some alternatives?

When comparing Doppler and Hugging Face, you can also consider the following products

EnvKey - Protect API keys and credentials. Keep configuration in sync everywhere.

Replika - Your Ai friend

Vault by HashiCorp - Tool for managing secrets

LangChain - Framework for building applications with LLMs through composability

Infisical - Infisical is an open source, end-to-end encrypted platform that lets you securely sync secrets and configs across your engineering team and infrastructure

Haystack NLP Framework - Haystack is an open source NLP framework to build applications with Transformer models and LLMs.