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Machine Learning & Data Science · head to head

Anaconda vs DEAR Inventory

Anaconda logo

Anaconda

Machine Learning & Data Science

The world's most popular data science platform

From
Free
Rated
-
DEAR Inventory logo

DEAR Inventory

Inventory Management

Complete inventory and order management system

From
On request
Rated
-

The short version

  • Only Anaconda has a free tier, so it costs nothing to try first.
  • Each has a real cost: Anaconda dependency resolution slower than pip due to SAT solver complexity; DEAR Inventory dEAR Inventory is now sold as Cin7 Core with four named tiers (Standard, Pro, Advanced, Omni) but no dollar figures are published, only an ROI calculator
  • They diverge on capability: Anaconda covers Conda package manager, DEAR Inventory covers Inventory management.

Where they differ

Only the attributes on which Anaconda and DEAR Inventory actually diverge.

Attributes where Anaconda and DEAR Inventory differ
AttributeAnacondaDEAR Inventory
Starting priceFreeOn request
Pricing modelUnknownsubscription
Free tierYesNo
PlatformsWindows, macOS, Linux, Web/CloudWeb, Mobile app, Cloud-based
CategoryMachine Learning & Data ScienceInventory Management
Founded20122013

Identical on both: user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Anaconda

  • Conda package manager
  • Environment management
  • 1500+ packages
  • Navigator GUI
  • Cross-platform support
  • Jupyter
  • VS Code
  • PyCharm

Only in DEAR Inventory

  • Inventory management
  • Manufacturing
  • Purchase orders
  • Sales orders
  • Accounting
  • Xero
  • QuickBooks
  • Shopify

What people use each for

The jobs each tool is most often brought in to do.

Anaconda

  • Machine learningnot DEAR Inventory
  • Data analysisnot DEAR Inventory
  • Model trainingnot DEAR Inventory
  • Predictive analyticsnot DEAR Inventory

DEAR Inventory

  • Manufacturing managementnot Anaconda
  • Order processingnot Anaconda
  • Stock controlnot Anaconda
  • Financial integrationnot Anaconda

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Anaconda

  • Dependency resolution slower than pip due to SAT solver complexity
  • Not all PyPI packages available through default Anaconda repository
  • Requires paid licenses for organizations with 200+ employees
  • Larger disk footprint than minimal Python installations

DEAR Inventory

  • DEAR Inventory is now sold as Cin7 Core with four named tiers (Standard, Pro, Advanced, Omni) but no dollar figures are published, only an ROI calculator

Pricing, plan by plan

Anaconda

Free
  • FreeFree
    • 600+ pre-installed packages
    • Anaconda Navigator
    • 5GB cloud storage
  • Starter$15/month
    • 10GB cloud storage per user
    • Professional development environment
    • Team workspace controls
  • Business$50/month
    • Automated vulnerability scanning
    • Audit trails
    • Enterprise SSO

DEAR Inventory

On request
  • Standard$249/month
    • Core features
    • 5 users
    • Standard support
  • Professional$449/month
    • Advanced manufacturing
    • 10 users
    • Priority support
  • Enterprise$849/month
    • Full features
    • Unlimited users
    • Dedicated support

Which should you pick?

Choose Anaconda if

  • You need conda package manager.
  • You want to start without paying.
  • You work on Windows, macOS, Linux, Web/Cloud.
  • You also want environment management.

Choose DEAR Inventory if

  • You need inventory management.
  • You work on Web, Mobile app, Cloud-based.
  • You also want manufacturing.

Questions people ask

Is Anaconda or DEAR Inventory better?
Neither clearly leads. Anaconda starts at Free and DEAR Inventory at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Anaconda or DEAR Inventory?
Anaconda has a free tier; the other does not. Paid plans start at Free for Anaconda and On request for DEAR Inventory.
Does Anaconda or DEAR Inventory run on more platforms?
Anaconda runs on Windows, macOS, Linux, Web/Cloud. DEAR Inventory runs on Web, Mobile app, Cloud-based.
Can I use Anaconda for free?
Yes. Anaconda has a free tier, so you can try it without paying. DEAR Inventory starts at On request.
What is Anaconda best used for?
Anaconda is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what DEAR Inventory is typically brought in for.
What can Anaconda do that DEAR Inventory cannot?
Anaconda covers Conda package manager, Environment management, 1500+ packages, Navigator GUI. DEAR Inventory covers Inventory management, Manufacturing, Purchase orders, Sales orders.

Answered from the vendors’ own pages

Anaconda: Does Anaconda have a free version?

Yes. Anaconda Distribution is free and includes 600+ pre-installed data science packages, Navigator, and 5GB of cloud storage. Organizations with 200+ employees must use paid plans unless they qualify for academic or non-profit exemptions.

Source
Anaconda: What is the difference between Anaconda Distribution and Miniconda?

Anaconda Distribution includes 600+ pre-installed packages optimized for data science out of the box. Miniconda is lightweight with only conda, Python, and essential packages, requiring manual installation of additional libraries.

Source
Anaconda: Does Anaconda integrate with VS Code?

Yes. Anaconda environments can be activated in VS Code, and you can run Jupyter Notebooks directly. Both JupyterLab and conda can be managed through the VS Code Jupyter extension.

Source
Anaconda: What platforms does Anaconda support?

Anaconda runs on Windows, macOS, and Linux, with cloud-based deployment options. Anaconda Notebooks provides a cloud-based JupyterLab environment requiring no local installation.

Source
Anaconda: Do all PyPI packages work with Anaconda?

Not all PyPI packages are available through Anaconda's default conda repository. When a package is unavailable in conda, you can install it from conda-forge or pip as an alternative.

Source

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