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Plausible Analytics Alternatives
Similar projects and alternatives to Plausible Analytics
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Home Assistant
:house_with_garden: Open source home automation that puts local control and privacy first.
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InfluxDB
Purpose built for real-time analytics at any scale. InfluxDB Platform is powered by columnar analytics, optimized for cost-efficient storage, and built with open data standards.
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Lila
Discontinued ♞ lichess.org: the forever free, adless and open source chess server ♞ [Moved to: https://github.com/lichess-org/lila] (by ornicar)
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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Matomo
Empowering People Ethically with the leading open source alternative to Google Analytics that gives you full control over your data. Matomo lets you easily collect data from websites & apps and visualise this data and extract insights. Privacy is built-in. Liberating Web Analytics. Star us on Github? +1. And we love Pull Requests!
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PostHog
🦔 PostHog provides open-source product analytics, session recording, feature flagging and A/B testing that you can self-host.
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Fathom Analytics
Fathom Lite. Simple, privacy-focused website analytics. Built with Golang & Preact.
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GoAccess
GoAccess is a real-time web log analyzer and interactive viewer that runs in a terminal in *nix systems or through your browser.
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fugu
Fugu is simple, privacy-friendly, open-source and self-hostable product analytics. 🐡 (by shafy)
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Open Web Analytics
Official repository for Open Web Analytics which is an open source alternative to commercial tools such as Google Analytics. Stay in control of the data you collect about the use of your website or app. Please consider sponsoring this project.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Plausible Analytics discussion
Plausible Analytics reviews and mentions
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Going open-source as a VC-Backed company
I'm not sure I personally agree with this, and I'm not 100% sure the developer community at-large does either...
Let's take a few examples, which I've shared elsewhere in similar discussions:
- GitLab: Open Source or Open Core? Most would say Open Source, but (I assume) you would argue Open Core [0].
- Plausible: Open Source or Open Core? They say Open Source, but it's actually Open Core [1].
- Cal.com: Open Source or Open Core? They say Open Source, but once again, Open Core [2].
- Posthog: Open Source or Open Core? They say Open Source, still Open Core [3].
- Sidekiq: Open Source or Open Core? Once again: Open Core [4].
Yet, every dev I know would consider these projects Open Source. So there's a disconnect somewhere.
Under this mindset, very few open source startups are actually open source, yet everybody says they are?
I'm not trying to argue either way; I'm trying to point out a disconnect here.
[0]: https://gitlab.com/gitlab-org/gitlab/-/blob/master/ee/LICENS...
[1]: https://github.com/plausible/analytics/blob/2dd2f058d1dcae6f...
[2]: https://github.com/calcom/cal.com/blob/main/packages/feature...
[3]: https://github.com/PostHog/posthog/blob/master/ee/LICENSE
[4]: https://github.com/sidekiq/sidekiq/blob/main/COMM-LICENSE.tx...
- Plausible's "No need for cookie banners" might be incorrect
- There's an AI – No Junk, Just Gems
- Plausible Analytics: GDPR Compliance with O Cookie Consent Banner
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Show HN: I've made Keyword Research tool that's 90% cheaper than anything
This is funny to me because it also looks just like Plausible Analytics' design. (They also used Tailwind). I guess both took heavy inspiration from the tailwind example design
https://plausible.io
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Counterscale and the New Self-Hosted
Shout out to Plausible for open-source, dead-simple, Saas-or-self-hosted analytics.
https://plausible.io
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Time Series Analysis of Plausible Data
# Function to get Plausible Analytics timeseries data def get_plausible_timeseries_data(): # Calculate the date range for the last 90 days date_to = datetime.today().strftime('%Y-%m-%d') date_from = (datetime.today() - timedelta(days=90)).strftime('%Y-%m-%d') # Setting the metrics we want to look at metrics='visitors,pageviews' # Actually pulling the data we want url = f"https://plausible.io/api/v1/stats/timeseries?site_id={site_id}&period=custom&date={date_from},{date_to}&metrics={metrics}" headers = { "Authorization": f"Bearer {api_key}" } response = requests.get(url, headers=headers) data = response.json() # Putting the data into a dataframe we can use for analysis results = data['results'] df = pd.DataFrame(results) # Adjusting the date field so we can avoid future warnings and be more accurate df['date'] = pd.to_datetime(df['date']) return df
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Ask HN: Founders who offer free/OS and paid SaaS, how do you manage your code?
I’m building an Open Source multi-tenant email newsletter tool [1] and the project is entirely AGPLv3 licensed. I have automatic builds from the `main` branch that I deploy to the SaaS version while public Docker images are available only for tagged releases.
There is currently no difference between the self-hosted and the SaaS version, but I am planning two things:
1) An env variable `IS_SELF_HOSTED` which, when set to `false`, toggles certain features like billing (currently enabled via a separate env variable and theoretically available to self-hosters) and includes hard-coded stuff like a footer with links to the official project website and our ToS.
2) Add a registration feature for self-hosters who make a donation. I haven’t fully planned out this feature, but if a self-hosted instance is registered by a paid supporter, it will most likely remove a call for becoming a supporter (that is yet to be added) or give them a supporter badge.
Choosing the AGPLv3 has been partially inspired by Plausible’s very successful model [2]. They’re also using a `SELFHOST` env variable to differentiate between their "Enterprise Edition" and the "Community Edition" [3].
[1] https://www.keila.io
[2] https://plausible.io/blog/open-source-licenses
[3] https://github.com/plausible/analytics/blob/baa99652f612f50b...
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Any Google Analytics Alternatives?
I think a single Google Analytics alternative is pretty hard to pick considering that GA can be used to very much varying extents.
For simple and "detailed enough" insights, I enjoyed using Plausible (https://plausible.io/) in the past.
For more in depth analytics that give you a detailed view into your own product, PostHog.com seems to be by far the best and most popular option out there.
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We need to Speak about Google Code Quality
I could do the same exercise with Google Analytics and Google Tag Manager, but luckily I don't need to, since Plausible already did. A piece of advice, rip out Google Analytics and use Plausible instead. It first of all doesn't destroy your website, and secondly it doesn't violate the GDPR - So you can embed it on your site without having to warn your visitors about that they're being spied on by Google.
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A note from our sponsor - SaaSHub
www.saashub.com | 17 Sep 2024
Stats
plausible/analytics is an open source project licensed under MIT License which is an OSI approved license.
Plausible Analytics is marked as "self-hosted". This means that it can be used as a standalone application on its own.
The primary programming language of Plausible Analytics is Elixir.
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