
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
Zendesk
Freshdesk
Intercom
LiveAgent
HelpScout
Zoho Desk
tawk.to
LiveChat
Matplotlib
ZendeskZendesk is recommended for small to large businesses that need a scalable and comprehensive customer support solution. It is especially beneficial for organizations looking to integrate customer support with existing systems, those needing detailed reporting and analytics, and companies seeking to provide multi-channel support including email, live chat, and social media interactions.
We switched to Zendesk hoping for a robust support platform, but the experience has been more frustrating than beneficial. On paper, it looks like it can do everything โ ticketing, chat, reporting, multi-channel support โ however, actually getting it to work the way you want is a challenge.
First off, the pricing feels out of step with reality. Key features we needed (automation, SLA controls, advanced reporting) were buried in higher-tier plans, which quickly inflated our costs. For a small to mid-size team, this made the platform feel overpriced compared to competitors.
The interface isnโt very friendly either. Between frequent UI changes and buried settings, training new agents becomes a project in itself. Even getting basic workflows set up required more time than expected. And ironically, when we did run into issues, Zendesk support wasnโt as quick or helpful as youโd hope from a company selling customer service software.
Overall, Zendesk has potential, but the combination of complex setup, high cost, and mediocre support makes it a 2-star experience in our book.
Based on our record, Matplotlib seems to be a lot more popular than Zendesk. While we know about 114 links to Matplotlib, we've tracked only 7 mentions of Zendesk. 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.
In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib โ the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 4 months ago
Numbers are useful, but sometimes itโs easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 7 months ago
We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 8 months ago
NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 9 months ago
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 / 10 months ago
Popular solutions ****include Zendesk and Help Scout. - Source: dev.to / over 2 years ago
That's not a reddit a url. zendesk.com is the url, whatever the hell that is. Source: over 3 years ago
Had my new SSL delivered at around the same time as my old one expired and now I can't log in due to it having expired. Is there an alternative URL I can get to, to log in? I've tried zendesk.com and hoped for a backend route through there but no cigar. Source: almost 4 years ago
Seven hours later and I have still not received a new email from "BOOXHelp help@boox.com via zendesk.com" (or other boox/onyx email). The last human-generated email I got from there was two days ago (Wed, Aug 31, 3:15 PM). Source: almost 4 years ago
My way of doing marketing starts with figuring out what my overall project will (or will not) be. In this case, I looked at the vendors like Zendesk, Intercom, Freshdesk, or Help Scout. They all have whizbang features such as live-chat, collaboration stuffs, automations and workflows. They bill per contact and addons. Iโd emphasize a straightforward, fuss-free angle instead. Source: about 4 years ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Freshdesk - Freshdesk is a cloud-based customer support software that lets you support customers through traditional channels like phone and email, social channels like Facebook and Twitter, and your own branded community
NumPy - NumPy is the fundamental package for scientific computing with Python
Intercom - Intercom is a customer relationship management and messaging tool for web businesses. Build relationships with users to create loyal customers.
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.
LiveAgent - LiveAgent is a fully-featured live chat and help desk software with AI functions. It harnesses the power of a universal inbox, real-time live chat, built-in call center, and a robust customer service portal. Start your free 1 month trial today!