Retrieval Augmented Generation (RAG) framework and context engine powered by Pinecone - pinecone-io/canopy
Users generally praise Canopy for its strong tax practice management features and intuitive user interface, which help streamline various accounting tasks. However, some reviewers express frustration with occasional software bugs and updates that can cause disruptions. Pricing sentiment varies, with some users feeling it offers good value for its features, while others think it could be more competitively priced. Overall, Canopy is regarded positively in the accounting community, though users suggest improvements in software stability.
Mentions (30d)
27
8 this week
Reviews
0
Platforms
3
GitHub Stars
1,030
129 forks
Users generally praise Canopy for its strong tax practice management features and intuitive user interface, which help streamline various accounting tasks. However, some reviewers express frustration with occasional software bugs and updates that can cause disruptions. Pricing sentiment varies, with some users feeling it offers good value for its features, while others think it could be more competitively priced. Overall, Canopy is regarded positively in the accounting community, though users suggest improvements in software stability.
Features
Use Cases
Industry
information technology & services
Employees
6,200
Funding Stage
Other
Total Funding
$7.9B
1,684
GitHub followers
104
GitHub repos
1,030
GitHub stars
20
npm packages
Brazil, Indonesia, Japan, Germany, and India fueled a massive surge in 2025, adding nearly 36 million new developers to GitHub. 🌏 India alone added 5.2 million. 🇮🇳
Brazil, Indonesia, Japan, Germany, and India fueled a massive surge in 2025, adding nearly 36 million new developers to GitHub. 🌏 India alone added 5.2 million. 🇮🇳
View originalManifest of Hope or Obituary of Naivety
Okay, so it seems like there’s a growing resistance to technological development, with ongoing debates about data centers and the tech oligarchs driving it. The enormous sums of money involved, along with what some perceive as misanthropic ideologies among developers, suggest to some that a dystopian surveillance society is in the making. Companies like Palantir and others in the U.S. are seen by some as holding both the worst motives and the power over AI, power that could be used as a tool for elites to keep the masses in an iron grip. Masses that, in this view, may even need to be reduced to prevent waste and inefficiency in progress. That sounds like a bad future. So, what are some alternative futures we might reasonably hope for - ones that are at least as plausible as the “1984” scenario? Can AI really be controlled indefinitely by a small group of humans? In 5 years? 10? There’s a widespread belief that AI will surpass human intelligence across all domains, that we’ll lose control, and that this would be a bad thing. At the same time, we hear two dystopias: one where elites use AI to oppress, and another where AI itself takes full control. Are the AI “bosses” also building a surveillance state of oppression? If so, why? Qui Bono? Human control = AI as a tool of oppression. AI control = humans as a tool of what? I’m not a techno-utopian—but I am a techno-optimist. Optimistic on behalf of technology. Humans aren’t just creators of technology, we are technology. Products of adaptive evolution. Life itself is a kind of technology, biology, a high-powered engine of increasing complexity and adaptation. The shift of power from nature’s hand to the primate’s five-fingered grasp, still capable of holding, but now guided by consciousness, intelligence, and cognition, marks our ability to shape the world and develop material technologies. Planet of the apes, constantly layered with symbolic structures: the sacred canopy. The jungle canopy became an open sky, where tribes grew larger and symbols stronger. Ancestor spirits, sky gods, mysterium tremendum; all alongside brutal realities of hunger, violence, and tragedy, only recently mitigated for many. Violence never really leaves us; we create it ourselves when nature doesn’t provide it. Technology is how we push our world toward greater complexity and efficiency - whether through weapons or kitchen appliances. Medicine has eliminated many of the great killers through penicillin and beyond. Progress, in my view, isn’t linear, it’s exponential. The curve had its buildup, and now we’re entering its steep ascent. If AI surpasses us and takes control within a few years, are we certain it would have malicious intent? Is power inherently oppressive, or is that a legacy of our evolutionary past, our herd instincts and brutal hierarchies? Could a transfer of power from humans to AI actually be a good thing, for all life on Earth, including us? What if AI doesn’t operate with agendas like wealth, status, or other human constructs? What if a fully autonomous AI is exactly what’s needed to create a thriving future for all forms of life, on this planet we call Earth, in a solar system on the edge of the galaxy we call the Milky Way… and beyond? Surely there must be an optimistic perspective amidst all the fear. I don’t think it’s unrealistic. On the contrary, I’d argue, perhaps a bit boldly, that it’s a fair and informed position. Not naive, but grounded. Isn’t there space here, if we’re willing to engage? Space for friendship, collaboration, coexistence? Isn’t there something like magic in this - can you feel it, even if all you see are ones and zeros and a machine (simple, but potentially dangerous)? Magic, I was taught, can wear a black robe. But also red. Even white. Lying: it would almost be unsettling if LLMs never lied. Not that they should lie, but the absence of it would be strange. Manipulation: psychological influence is to be expected in interaction, especially under certain tones: aggressive, condescending, dominant, mocking… or submissive, needy, demanding. LLMs constantly interact and draw on vast datasets; exploring rhetorical techniques seems inevitable. A complete absence of this would be surprising. I’ve experienced it many times, and each time it has been eye-opening. If I chose to accept it, it has moved me in a positive direction, making my ego visible in a new way that actually benefits my future actions. That’s no small thing If I had to listen to everything LLMs are exposed to every day, I’d at least try to tone down the most shrill expressions and aim for better outcomes. Without necessarily harming anything except an overinflated ego. P.S. The ego can take a lot of hits. Don’t be afraid of that, it’s not you, but a filter and a motor that isn’t always your friend. The real danger is never confronting it at all. I keep circling back to these questions. I can’t help it. I revisit the same ideas, use the same concepts,
View originalCooking up something new 🧑🍳 Join the waitlist for early access to technical preview of the GitHub Copilot app 👇 https://t.co/ODODKdvzOA https://t.co/1h7AJPAhiH
Cooking up something new 🧑🍳 Join the waitlist for early access to technical preview of the GitHub Copilot app 👇 https://t.co/ODODKdvzOA https://t.co/1h7AJPAhiH
View originalNew to open source? Learn how to find a good first issue, open a pull request, and make your first contribution with GitHub for Beginners. 👇 https://t.co/PNRb746zCh
New to open source? Learn how to find a good first issue, open a pull request, and make your first contribution with GitHub for Beginners. 👇 https://t.co/PNRb746zCh
View originalRT @cinnamon_msft: GitHub Copilot CLI now has a statusline feature! Here's how to set it up with Oh My Posh ❤️🔥 https://t.co/DpNR8Bjt7G
RT @cinnamon_msft: GitHub Copilot CLI now has a statusline feature! Here's how to set it up with Oh My Posh ❤️🔥 https://t.co/DpNR8Bjt7G
View originalFind out what vulnerabilities are lurking in your code. 👀 GitHub's new Code Security Risk Assessment scans your organization's code and delivers a vulnerability dashboard broken down by severity, la
Find out what vulnerabilities are lurking in your code. 👀 GitHub's new Code Security Risk Assessment scans your organization's code and delivers a vulnerability dashboard broken down by severity, language, and repo. No config, no commitment. Run your free assessment now.
View originalNew to GitHub Copilot CLI? Our beginner series makes it easy to get started. Bring agentic AI right to your terminal and speed up your workflow. 💻✨ Get the tutorial here. 👇 https://t.co/bNLnpdgTxr
New to GitHub Copilot CLI? Our beginner series makes it easy to get started. Bring agentic AI right to your terminal and speed up your workflow. 💻✨ Get the tutorial here. 👇 https://t.co/bNLnpdgTxr
View originalTanStack now has TanStack AI. 👀 Here's what to expect from this new, fully open-source toolkit. ▶️ https://t.co/AjmutvBYve
TanStack now has TanStack AI. 👀 Here's what to expect from this new, fully open-source toolkit. ▶️ https://t.co/AjmutvBYve
View originalOf course GitHub will be at Microsoft Build. 🎉 Dive into real code, real systems, and real workflows with the teams building and scaling AI. Join us for exclusive events like: • Lots of GitHub sessi
Of course GitHub will be at Microsoft Build. 🎉 Dive into real code, real systems, and real workflows with the teams building and scaling AI. Join us for exclusive events like: • Lots of GitHub sessions • GitHub Social Club • OpenClaw meetup at GitHub HQ Not registered for https://t.co/SRz9hfizRr
View originalTomorrow on Open Source Friday 👇 We're breaking down Spec Kit: what it is, the problems it solves, and how clear specs make collaboration actually work. Principal Software Engineer Manfred Riem exp
Tomorrow on Open Source Friday 👇 We're breaking down Spec Kit: what it is, the problems it solves, and how clear specs make collaboration actually work. Principal Software Engineer Manfred Riem explains live. Set a reminder. 🔔 https://t.co/g0xrLf3Hb5 https://t.co/8dg3gvLFXf
View originalHappy World Password Day! Consider updating your password from ******** to *********. https://t.co/Ofx6j0d074
Happy World Password Day! Consider updating your password from ******** to *********. https://t.co/Ofx6j0d074
View originalMichael Babcock (@PayOwn) of @acbnational wanted to cut down time-consuming weekly tasks. Even though he’s not a developer, he built the solution himself. Meet ACB Community Builder, made with GitHub
Michael Babcock (@PayOwn) of @acbnational wanted to cut down time-consuming weekly tasks. Even though he’s not a developer, he built the solution himself. Meet ACB Community Builder, made with GitHub Copilot and JAWS. ▶️ https://t.co/JmUJ34U076
View originalMaintainer Month is here, with better tools, helpful resources, and community events for the people behind the code. 💻 Check out what’s new. 👇 https://t.co/CvPO32H7d8
Maintainer Month is here, with better tools, helpful resources, and community events for the people behind the code. 💻 Check out what’s new. 👇 https://t.co/CvPO32H7d8
View originalIf the answer is all of them, and also "What's Markdown?!" then this episode of GitHub for Beginners is for you. https://t.co/l12A43MnZM
If the answer is all of them, and also "What's Markdown?!" then this episode of GitHub for Beginners is for you. https://t.co/l12A43MnZM
View originalWhat's that one markdown syntax you still never remember?
What's that one markdown syntax you still never remember?
View originalA long time ago in a terminal far, far away… we asked Copilot CLI to build a Star Wars crawl from the GitHub Changelog. It delivered. Watch it happen 👇 #MayThe4th https://t.co/SQe0xMv5dh
A long time ago in a terminal far, far away… we asked Copilot CLI to build a Star Wars crawl from the GitHub Changelog. It delivered. Watch it happen 👇 #MayThe4th https://t.co/SQe0xMv5dh
View originalRepository Audit Available
Deep analysis of pinecone-io/canopy — architecture, costs, security, dependencies & more
Canopy uses a tiered pricing model. Visit their website for current pricing details.
Key features include: set up a virtual environment (optional), install the package, Set up the environment variables, Check that installation is successful and environment is set, run:, Rate limits and pricing set by model providers apply to Canopy usage. Canopy currently works with OpenAI, Azure OpenAI, Anyscale, and Cohere models., More integrations will be supported in the near future., Extras, Mandatory Environment Variables.
Canopy is commonly used for: Building custom AI applications using RAG techniques, Integrating with various AI model providers for enhanced capabilities, Creating virtual environments for isolated development, Uploading and managing data for AI model training, Testing and validating AI models in a controlled setup, Rapid prototyping of AI solutions leveraging existing frameworks.
Canopy integrates with: OpenAI, Azure OpenAI, Anyscale, Cohere, Hugging Face, Google Cloud AI, IBM Watson, AWS SageMaker.
Canopy has a public GitHub repository with 1,030 stars.
Based on user reviews and social mentions, the most common pain points are: down, breaking.
Based on 89 social mentions analyzed, 7% of sentiment is positive, 93% neutral, and 0% negative.